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Items where Subject is Field of Research, Information and Computing Sciences, Artificial Intelligence and Image Processing, Neural, Evolutionary and Fuzzy Computation

Journal Article
Loh, TY and Brito, MP and Bose, N and Xu, J and Nikolova, N and Tenekedjiev, K, A hybrid fuzzy system dynamics approach for risk analysis of AUV operations, Journal of Advanced Computational Intelligence and Intelligent Informatics, 24, (1) pp. 1-14. ISSN 1343-0130 (In Press) [Refereed Article]
Li, Q and Zhong, J and Li, Q and Wang, C and Cao, Z, A community merger of optimization algorithm to extract overlapping communities in networks, IEEE Access, 7 pp. 3994-4005. ISSN 2169-3536 (2019) [Refereed Article]
Yang, Z and Xiong, G and Cao, Z and Li, Y and Huang, L, A decision method for online purchases considering dynamic information preference based on sentiment orientation classification and discrete DIFWA operators, IEEE Access pp. 1-20. ISSN 2169-3536 (2019) [Refereed Article]
Liu, Z and Xiao, F and Lin, C-T and Kang, BH and Cao, Z, A generalized golden rule representative value for multiple-criteria decision analysis, IEEE Transactions on Systems, Man, and Cybernetics: Systems pp. 1-12. ISSN 2168-2216 (2019) [Refereed Article]
Cheng, C and Xiao, F and Cao, Z, A new distance for intuitionistic fuzzy sets based on similarity matrix, IEEE Access, 7 pp. 70436-70446. ISSN 2169-3536 (2019) [Refereed Article]
Kabir, M and Kabir, MMJ and Xu, S and Badhon, B, An empirical research on sentiment analysis using machine learning approaches, International Journal of Computers and Applications pp. 1-9. ISSN 1206-212X (2019) [Refereed Article] 
Han, Y and Deng, Y and Cao, Z and Lin, C-T, An interval-valued Pythagorean prioritized operator-based game theoretical framework with its applications in multicriteria group decision making, Neural Computing and Applications pp. 1-19. ISSN 0941-0643 (2019) [Refereed Article] 
Xia, L-Y and Wang, Q-Y and Cao, Z and Liang, Y, Descriptor selection improvements for quantitative structure-activity relationships, International Journal of Neural Systems pp. 1-16. ISSN 1793-6462 (2019) [Refereed Article] 
Cao, Z and Ding, W and Wang, Y-K and Hussain, FK and Al-Jumaily, A and Lin, C-T, Effects of repetitive SSVEPs on EEG complexity using multiscale inherent fuzzy entropy, Neurocomputing pp. 1-9. ISSN 0925-2312 (2019) [Refereed Article] 
Cao, Z and Lin, C-T and Ding, W and Chen, M-H and Li, C-T and Su, T-P, Identifying ketamine responses in treatment-resistant depression using a wearable forehead EEG, IEEE Transactions on Biomedical Engineering, 66, (6) pp. 1668-1679. ISSN 0018-9294 (2019) [Refereed Article] 
Montgomery, J and Randall, M and Lewis, A, Integrating continuous differential evolution with discrete local search for meander line RFID antenna design, PLoS ONE, 14, (10) Article e0223194. ISSN 1932-6203 (2019) [Refereed Article]
Cao, Z and Chuang, C-H and King, J-K and Lin, C-T, Multi-channel EEG recordings during a sustained-attention driving task, Scientific Data, 6 Article 19. ISSN 2052-4463 (2019) [Refereed Article]
Yang, Z and Li, X and Cao, Z and Li, J, Q-rung orthopair normal fuzzy aggregation operators and their application in multi-attribute decision-making, Mathematics, 7, (12) Article 1142. ISSN 2227-7390 (2019) [Refereed Article]
Cao, Z and Lai, K-L and Lin, C-T and Chuang, C-H and Chou, C-C and Wang, S-J, Exploring resting-state EEG complexity before migraine attacks, Cephalalgia, 38, (7) pp. 1296-1306. ISSN 0333-1024 (2018) [Refereed Article] 
Kabir, MMJ and Xu, S and Kang, BH and Zhao, Z, A new multiple seeds based genetic algorithm for discovering a set of interesting Boolean association rules, Expert Systems With Applications, 74 pp. 55-69. ISSN 0957-4174 (2017) [Contribution to Refereed Journal] 
Hasan, MAM and Xu, S and Kabir, MMJ and Ahmad, S, Performance evaluation of different kernels for support vector machine used in intrusion detection system, International Journal of Computer Networks and Communications, 8, (6) pp. 39-54. ISSN 0974-9322 (2016) [Refereed Article]
Lewis, IJ and Beswick, SL, Generalisation over details: the unsuitability of supervised backpropagation networks for Tetris, Advances in Artificial Neural Systems, 2015 Article 157983. ISSN 1687-7594 (2015) [Refereed Article]
Zhao, Z and Xu, S and Kang, BH and Kabir, MMJ and Liu, Y and Wasinger, R, Investigation and improvement of multi-layer perceptron neural networks for credit scoring, Expert Systems With Applications, 42, (7) pp. 3508-3516. ISSN 0957-4174 (2015) [Refereed Article] 
Chen, S and Montgomery, J and Bolufe-Rohler, A and Gonzalez-Fernandez, Y, Invited paper: a review of thresheld convergence, GECONTEC: Revista Internacional de Gestion del Conocimiento y la Tecnologia, 3, (1) pp. 1-13. ISSN 2255-5684 (2015) [Non Refereed Article]
Chen, S and Montgomery, J and Bolufe-Rohler, A, Measuring the curse of dimensionality and its effects on particle swarm optimization and differential evolution, Applied Intelligence, 42, (3) pp. 514-526. ISSN 0924-669X (2015) [Refereed Article] 
Kabir, MMJ and Xu, S and Kang, BH and Zhao, Z, A hybrid GeneticMax algorithm for improving the traditional genetic based approach for mining maximal frequent item sets, International Journal of Computer Science and Network Security, 14, (10) pp. 27-35. ISSN 1738-7906 (2014) [Refereed Article] 
Kabir, MMJ and Xu, S and Kang, BH and Zhao, Z, Association rule mining for both frequent and infrequent items using particle swarm optimization algorithm, International Journal on Computer Science and Engineering, 6, (7) pp. 221-231. ISSN 0975-3397 (2014) [Refereed Article] 
Zhao, Z and Xu, S and Kang, BH and Kabir, MMJ and Liu, Y, Investigation of multilayer perceptron and class imbalance problems for credit rating, International Journal of Computer and Information Technology, 3, (4) pp. 805-812. ISSN 2279-0764 (2014) [Refereed Article]
Xu, S and Liu, Y, Neural networks for business decision making, International Journal of Advancements in Computing Technology, 6, (2) pp. 49-58. ISSN 2005-8039 (2014) [Refereed Article] 
Nyirenda, CN and Dawoud, DS and Dong, F and Negnevitsky, M and Hirota, K, A Fuzzy Multiobjective Particle Swarm Optimized TS Fuzzy Logic Congestion Controller for Wireless Local Area Networks, Journal of Advanced Computational Intelligence and Intelligent Informatics, 15, (1) pp. 41-54. ISSN 1343-0130 (2011) [Refereed Article]
Breen, J and de Souza, P and Timms, GP and Ollington, R, Onboard assessment of XRF spectra using genetic algorithms for decision making on an autonomous underwater vehicle, Nuclear Instruments and Methods in Physics Research. Section B. Beam Interactions With Materials and Atoms, 269, (12) pp. 1341-1345. ISSN 0168-583X (2011) [Refereed Article]
Xu, S, Data mining using higher order neural network models with adaptive neuron activation functions, International Journal of Advancements in Computing Technology , 2, (4) pp. 168-177. ISSN 2005-8039 (2010) [Refereed Article]
Montgomery, J and Randall, M and Hendtlass, T, Solution bias in ant colony optimisation: lessons for selecting pheromone models, Computers and Operations Research, 35, (9) pp. 2728-2749. ISSN 0305-0548 (2008) [Refereed Article] 
Thaijiam, C and Gale, TJ, The effect of myocardial anisotropy on volume measurement using conductance catheter techniques in the right ventricle, ANZIAM Journal, 49, (1) pp. C733-C748. ISSN 1446-8735 (2008) [Refereed Article] 
Zhang, M and Xu, S and Fulcher, JA, ANSER: Adaptive Neuron Artificial Neural Network System for Estimating rainfall, International Journal of Computers & Applications, 29, (3) pp. 215-222. ISSN 1206-212X (2007) [Refereed Article]
Phan, PA and Gale, TJ, Direct Adaptive fuzzy control with less restrictions on the control gain, International Journal of Control, Automation, and Systems, 5, (6) pp. 621-629. ISSN 1740-7516 (2007) [Refereed Article]
Jiang, D, Intelligent computing for real-time solution of time-varying linear equations, International Journal of Intelligent Systems Technologies and Applications, 3, (3/4) pp. 309-318. ISSN 1740-8865 (2007) [Refereed Article]
Phan, PA and Gale, TJ, Two-mode adaptive fuzzy control with approximation error estimator, IEEE Transactions on Fuzzy Systems, 15, (5) pp. 943-955. ISSN 1063-6706 (2007) [Refereed Article]
Montgomery, J and Randall, M and Hendtlass, T, Automated selection of appropriate pheromone representations in ant colony optimization, Artificial Life, 11, (3) pp. 269-291. ISSN 1064-5462 (2005) [Refereed Article]
Negnevitsky, M and Pavlovsky, V, Neural Networks Approach to Online Identification of Multiple Failures of Protection Systems, IEEE Transactions on Power Delivery, 20, (2) pp. 588-594. ISSN 0885-8977 (2005) [Refereed Article]
Montgomery, J and Randall, M, The accumulated experience ant colony for the travelling salesman problem, International Journal of Computational Intelligence and Applications, 3, (2) pp. 189-198. ISSN 1469-0268 (2003) [Refereed Article] 
Zhang, Y and Jiang, D and Wang, J, A recurrent neural network for solving Sylvester equation with time-varying coefficients, IEEE Transactions on Neural Networks , 13, (5) pp. 1053-1063. ISSN 1045-9227 (2002) [Refereed Article] 
Ganapathy, V and Meena, K and Muttaqi, KM, MTD Method for Better Prediction of Sea Surface Temperature, International Journal of Remote Sensing , 23, (18) pp. 3725-3743. ISSN 0143-1161 (2002) [Refereed Article] 
Zhang, M and Xu, S and Fulcher, J, Neuron-Adaptive Higher Order Neural-Network Models for Automated Financial Data Modeling, IEEE Transactions on Neural Networks, 13, (1) pp. 188 - 204. ISSN 1045-9227 (2002) [Refereed Article] 
Ollington, RB and Vamplew, PW, A Supervised Neural Network Based on the Cerebellum, Australian Journal of Intelligent Information Processing Systems, 6, (4) pp. 242-274. ISSN 1321-2133 (2001) [Refereed Article] 
Jiang, D and Wang, J, On-line learning of dynamic systems in the prescence of model mismatch and disturbance, IEEE Transactions on Neural Networks , 11, (6) pp. 1272-1283. ISSN 1045-9227 (2000) [Refereed Article] 
Karri, V and Frost, F, Selection of significant process parameters, in producing, using general regression neural networks, New Engineer, 3, (3) pp. 22-25. ISSN 1440-785X (2000) [Refereed Article] 
Jiang, D and Wang, J, A recurrent neural network for real-time semidefinte programming, IEEE Transactions on Neural Networks, 10, (1) pp. 81-93. ISSN 1045-9227 (1999) [Refereed Article] 
Book
Negnevitsky, M, Artificial Intelligence: A Guide to Intelligent Systems, Addison-Wesley, Harlow, England, pp. 1-407. ISBN 0-321-20466-2 (2005) [Revision/New Edition] 
Chapter in Book
Xu, S and Liu, Y, A theoretical framework for parallel implementation of deep higher order neural networks, Applied Artificial Higher Order Neural Networks for Control and Recognition, Information Science Reference, M Zhang (ed), Hershey PA, USA, pp. 351-361. ISBN 9781522500636 (2016) [Research Book Chapter] 
Zhao, Z and Xu, S and Kang, BH and Kabir, MMJ and Liu, Y and Wasinger, R, Utilizing Feature Selection on Higher Order Neural Networks, Applied Artificial Higher Order Neural Networks for Control and Recognition, Information Science Reference, M Zhang (ed), Hershey PA, USA, pp. 375-390. ISBN 9781522500636 (2016) [Research Book Chapter] 
Xu, S, HONNs with Extreme learning Machine to Handle Incomplete Datasets, Artificial Higher Order Neural Networks for Modeling and Simulation, Information Science Reference, J Gamon (ed), United States of America, pp. 276-292. ISBN 978-1-4666-2175-6 (2012) [Research Book Chapter] 
Xu, S, Adaptive Higher Order Neural Network Models for Data Mining, Artificial Higher Order Neural Networks for Computer Science and Engineering: Trends for Emerging Applications, Information Science Reference, Ming Zhang (ed), Hershey, United States, pp. 86-98. ISBN 978-1-61520-711-4 (2010) [Research Book Chapter]
Xu, S, Adaptive higher order neural network models and their applications in business, Artificial Higher Order Neural Networks for Economics and Business, Information Science Reference, Ming Zhang (ed), Hershey, PA, pp. 314-329. ISBN 978-1-59904-897-0 (2009) [Research Book Chapter] 
Fulcher, JD and Zhang, M and Xu, S, Application of Higher-Order Neural Networks to Financial Time-Series Prediction, Artificial Neural Networks in Finance and Manufacturing, Idea Group Publishing, J Kamruzzaman, RK Begg & RA Sarker (ed), Hershey, United States, pp. 80-108. ISBN 1-59140-671-4 (2006) [Research Book Chapter] 
Conference Publication
Cao, Z and Prasad, M and Tanveer, M and Lin, C-T, Tensor decomposition for EEG signals retrieval, Proceedings of the 2019 IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC 2019), 06-09 October 2019, Bari, Italy (In Press) [Refereed Conference Paper] 
Chen, S and Bolufe-Rohler, A and Montgomery, J and Hendtlass, T, An analysis on the effect of selection on exploration in particle swarm optimization and differential evolution, Proceedings of the 2019 IEEE Congress on Evolutionary Computation, 10-13 June 2019, Wellington, New Zealand, pp. 3038-3045. (2019) [Refereed Conference Paper]
Ashlock, D and Montgomery, EJ, Applying an adaptive generative representation to the investigation of affordances in puzzles, Proceedings of the 2019 IEEE Congress on Evolutionary Computation, 10-13 June 2019, Wellington, New Zealand, pp. 762-769. (2019) [Refereed Conference Paper]
Li, Q and Zhong, J and Li, Q and Cao, Z and Wang, C, Enhancing network embedding with implicit clustering, Proceedings of the 24th International Conference, DASFAA 2019: Database Systems for Advanced Applications, 22-25 April 2019, Chiang Mai, Thailand, pp. 452-467. ISSN 0302-9743 (2019) [Refereed Conference Paper] 
Ashlock, D and Ashlock, W and Montgomery, J, Implementing phenotypic plasticity with an adaptive generative representation, Proceedings of the 2019 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), 9-11 July 2019, Siena, Italy, pp. 173-180. ISBN 978-1-7281-1462-0 (2019) [Refereed Conference Paper] 
Lewis, A and Randall, M and Elliott, S and Montgomery, J, Long term implications of climate change on crop planning, Proceedings of the 2019 International Conference on Computational Science, 12-14 June 2019, Faro, Portugal, pp. 1-14. (2019) [Refereed Conference Paper] 
Montgomery, J and Fitzgerald, A and Randall, M and Lewis, A, A computational comparison of evolutionary algorithms for water resource planning for agricultural and environmental purposes, 2018 IEEE Congress on Evolutionary Computation, 8-13 July 2018, Rio de Janeiro, Brazil, pp. 1-8. ISBN 9781509060177 (2018) [Refereed Conference Paper]
Liu, Y and Xu, Z and Li, N and Xu, S and Gang, Y, A path planning algorithm for plant protection UAV for avoiding multiple obstruction areas, Proceedings of the 6th IFAC Conference on Bio-Robotics (BIOROBOTICS 2018), 12-16 July 2018, Beijing, China, pp. 483-488. ISSN 2405-8963 (2018) [Refereed Conference Paper] 
Tamayo-Vera, D and Chen, S and Bolufe-Rohler, A and Montgomery, J and Hendtlass, T, Improved exploration and exploitation in particle swarm optimization, Proceedings of the 31st International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, 25-28 June 2018, Montreal, Canada, pp. 421-433. ISBN 9783319920573 (2018) [Refereed Conference Paper] 
Montgomery, J and Ashlock, D, Applying the biased form of the adaptive generative representation, Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 5-8 June 2017, San Sebastian, Spain, pp. 1079-1086. ISBN 9781509046003 (2017) [Refereed Conference Paper] 
Cao, Z and Prasad, M and Lin, C-T, Estimation of SSVEP-based EEG complexity using inherent fuzzy entropy, Proceedings of the 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 09-12 July 2017, Naples, Italy ISSN 1558-4739 (2017) [Refereed Conference Paper]
Ashlock, D and Montgomery, J, An adaptive generative representation for evolutionary computation, Proceedings of the 2016 IEEE Congress on Evolutionary Computation (CEC), 24-29 July 2016, Vancouver, Canada, pp. 1578-1585. ISBN 978-1-5090-0622-9 (2016) [Refereed Conference Paper]
Lunt, AJ and Xu, S, An empirically-sourced heuristic for predetermining the size of the hidden layer of a multi-layer perceptron for large datasets, Lecture Notes in Computer Science 9992: Proceedings of the 29th Australasian Joint Conference on Artificial Intelligence (AI 2016): Advances in Artificial Intelligence), 5-8 December 2016, Hobart, Tasmania, pp. 542-547. ISBN 978-3-319-50126-0 (2016) [Refereed Conference Paper] 
McClarron, P and Ollington, R and Lewis, I, Effect of constraints on evolving behavior trees for game AI, Proceedings of the 9th Annual International Conference on Computer Games Multimedia & Allied Technologies (CGAT 2016), 28-29 March 2016, Singapore, pp. 1-6. ISSN 2251-1679 (2016) [Refereed Conference Paper]
Kabir, MMJ and Xu, S and Kang, BH and Zhao, Z, Multiple seeds based evolutionary algorithm for mining Boolean association rules, Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining Workshops (PAKDD 2016), 19 April 2016, Auckland, New Zealand, pp. 61-72. ISBN 9783319429953 (2016) [Refereed Conference Paper]
Kabir, MMJ and Xu, S and Kang, BH and Zhao, Z, A new evolutionary algorithm for extracting a reduced set of interesting association rules, Lecture Notes in Computer Science: 22nd International Conference, ICONIP 2015 - Neural Information Processing, 09-12 November 2015, Istanbul, Turkey, pp. 133-142. ISBN 978-3-319-26534-6 (2015) [Refereed Conference Paper]
Cao, Z-H and Ko, L-W and Lai, K-L and Huang, S-B and Wang, S-J and Lin, C-T, Classification of migraine stages based on resting-state EEG power, Proceedings of the 2015 International Joint Conference on Neural Networks (IJCNN), 12-17 July 2015, Killarney, Ireland ISSN 2161-4393 (2015) [Refereed Conference Paper]
Kabir, MMJ and Xu, S and Kang, BH and Zhao, Z, Comparative analysis of genetic based approach and apriori algorithm for mining maximal frequent item sets, Proceedings of the 2015 IEEE Congress on Evolutionary Computation, 25-28 May 2015, Sendai, Japan, pp. 39-45. ISBN 978-1-4799-7492-4 (2015) [Refereed Conference Paper]
Kabir, MMJ and Xu, S and Kang, BH and Zhao, Z, Discovery of interesting association rules using genetic algorithm with adaptive mutation, Lecture Notes in Computer Science: 22nd International Conference, ICONIP 2015 - Neural Information Processing, 09-12 November 2015, Istanbul, Turkey, pp. 96-105. ISBN 978-3-319-26534-6 (2015) [Refereed Conference Paper]
Piad-Morffis, A and Estevez-Velarde, S and Bolufe-Rohler, A and Montgomery, J and Chen, S, Evolution strategies with thresheld convergence, Proceedings of 2015 IEEE Congress on Evolutionary Computation, 25-28 May, Sendai, Japan, pp. 2097-2104. ISBN 978-1-4799-7491-7 (2015) [Refereed Conference Paper] 
Montgomery, J, Representation matters: real-valued encodings for meander line RFID antennas, Proceedings of 2015 IEEE Congress on Evolutionary Computation, 25-28 May, Sendai, Japan, pp. 1303-1310. ISBN 978-1-4799-7491-7 (2015) [Refereed Conference Paper] 
Kabir, M and Xu, S and Kang, BH and Zhao, Z, A novel approach to mining maximal frequent itemsets based on genetic algorithm, Proceedings of the 9th International Conference on Information Technology and Applications, 1-4 July 2014, Sydney, Australia, pp. 1-6. ISBN 978-0-9803267-6-5 (2014) [Refereed Conference Paper] 
Montgomery, J and Randall, M and Lewis, A, Extending the front: designing RFID antennas using multiobjective differential evolution with biased population selection, Proceedings of 14th International Conference on Computational Science 2014, 10-12 June 2014, Cairns, Australia, pp. 1893-1903. ISSN 1877-0509 (2014) [Refereed Conference Paper] 
Montgomery, J and Chen, S and Gonzalez-Fernandez, Y, Identifying and exploiting the scale of a search space in differential evolution, Proceedings of 2014 IEEE Congress on Evolutionary Computation, 6-11 July 2014, Beijing, China, pp. 1427-1434. ISBN 9781479966264 (2014) [Refereed Conference Paper] 
Zhao, Z and Xu, S and Kang, BH and Kabir, M and Liu, Y, Instance selection and optimization of neural networks, Proceedings of the 9th International Conference on Information Technology and Applications, 1-4 July 2014, Sydney, Australia, pp. 1-6. ISBN 978-0-9803267-6-5 (2014) [Refereed Conference Paper] 
Chen, S and Montgomery, J and Bolufe-Rohler, A, Some measurements on the effects of the curse of dimensionality, GECCO'14 Companion Publication of the 2014 Genetic and Evolutionary Computation Conference, 12-16 July, Vancouver, Canada, pp. 1447-1448. ISBN 978-1-4503-2881-4 (2014) [Conference Extract]
Xu, S and Liu, Y and Kang, B-H and Gao, W, A machine learning approach for modeling and its applications, Proceedings of the European Modeling and Simulation Symposium, 25-27 September, 2013, Athens, Greece, pp. 659-663. ISBN 978-88-97999-16-4 (2013) [Refereed Conference Paper] 
Shahriar, S and Rahman, A and Smith, D, Applying context in appliance load identification, Proceedings, ICNC 2013, 23-25 July 2013, Shenyang, China, pp. 900-905. ISBN 978-1-4673-4714-3 (2013) [Non Refereed Conference Paper]
Bolufe-Rohler, A and Estevez-Velarde, S and Piad-Morffis, A and Chen, S and Montgomery, J, Differential evolution with thresheld convergence, Proceedings of the 2013 IEEE Congress on Evolutionary Computation, 20-23 June 2013, Cancun, Mexico, pp. 40-47. ISBN 978-1-4799-0453-2 (2013) [Refereed Conference Paper] 
O'Mara, A and Shahriar, S, Fuzzy clustering-based prediction of marine sensor data, Proceedings of the 10th International Conference on Fuzzy Systems and Knowledge Discovery, 23-25 July 2013, Shenyang, China, pp. 364-368. ISBN 978-1-4673-5253-6 (2013) [Refereed Conference Paper] 
Masrom, S and Moser, I and Montgomery, J and Abidin, SZZ and Omar, N, Hybridization of particle swarm optimization with adaptive genetic algorithm operators, Proceedings of the 2013 International Conference on Intelligent Systems Design and Applications, 8-10 December 2013, Malaysia, pp. 1-6. ISBN 978-1-4799-3516-1 (2013) [Refereed Conference Paper] 
Cohen, WJ and Ollington, RB and Ling, FLN, Hydrologic model parameter optimisation, Proceedings of the 20th International Congress on Modelling and Simulation (MODSIM 2013), 1-6 December 2013, Adelaide, Australia, pp. 1-7. ISBN 978-0-9872143-2-4 (2013) [Refereed Conference Paper]
Chen, S and Montgomery, J, Particle swarm optimization with thresheld convergence, Proceedings of the 2013 IEEE Congress on Evolutionary Computation, 20-23 June 2013, Cancun, Mexico, pp. 510-516. ISBN 978-1-4799-0453-2 (2013) [Refereed Conference Paper] 
Montgomery, J and Chen, S, A simple strategy for maintaining diversity and reducing crowding in differential evolution, Proceedings of 2012 IEEE Congress on Evolutionary Computation, 10-15 June 2012, Brisbane, Australia, pp. 2692-2699. ISBN 978-1-4673-1510-4 (2012) [Refereed Conference Paper] 
Breen, JP and de Souza, P and Timms, G and Mculloch, J and Ollington, RB, Analysis of Heavy Metals in Marine Sediment using a Portable X-ray Fluorescence Spectrometer Onboard an Autonomous Underwater Vehicle, Proceedings - Oceans 2012, 21-24 May 2012, Yeosu, KOREA EJ ISBN 978-1-4577-2090-1 (2012) [Non Refereed Conference Paper]
Xu, S and Liu, Y, HONNs with ELM algorithm for medical applications, Proceedings of the 12th International Conference on Control, Automation, Robotics and Vision, 5-7 December 2012, Guangzhou, China, pp. 1215-1219. ISBN 978-1-4673-1872-3 (2012) [Refereed Conference Paper] 
Beer, C and Hendtlass, T and Montgomery, J, Improving exploration in ant colony optimisation with antennation, Proceedings of the 2012 IEEE Congress on Evolutionary Computation, 10-15 June 2012, Brisbane, Australia, pp. 2926-2933. ISBN 978-1-4673-1510-4 (2012) [Refereed Conference Paper] 
Chen, S and Xudiera, C and Montgomery, J, Simulated annealing with thresheld convergence, Proceedings of the 2012 IEEE Congress on Evolutionary Computation, 2012 IEEE Congress on Evolutionary Computation, Brisbane, Australia, pp. 1946-1952. ISBN 978-1-4673-1510-4 (2012) [Refereed Conference Paper] 
Chen, S and Montgomery, J, A simple strategy to maintain diversity and reduce crowding in particle swarm optimization, AI 2011: Advances in Artificial Intelligence, 5-8 December 2011, Perth, Australia, pp. 281-290. ISBN 978-3-642-25831-2 (2011) [Refereed Conference Paper] 
Xu, S, An Extreme Learning Machine Algorithm for Higher Order Neural Network, Proceedings of the 23rd European Modeling & Simulation Symposium, 12-14 September 2011, Rome, Italy, pp. 418-422. ISBN 978-88-903724-4-5 (2011) [Refereed Conference Paper] 
Montgomery, J and Randall, M and Lewis, A, Differential evolution for RFID antenna design: a comparison with ant colony optimisation, Proceedings of the 13th Annual Conference on Genetic and Evolutionary Computation, 12-16 July 2011, Dublin, Ireland, pp. 673-680. ISBN 978-1450312547 (2011) [Refereed Conference Paper] 
Moser, I and Montgomery, J, Population-ACO for the automotive deployment problem, Proceedings of the 13th Annual Conference on Genetic and Evolutionary Computation, 12-16 July 2011, Dublin, Ireland, pp. 777-784. ISBN 978-1450312547 (2011) [Refereed Conference Paper] 
Chen, S and Montgomery, J, Selection strategies for initial positions and initial velocities in multi-optima particle swarms, Proceedings of the 13th Annual Conference on Genetic and Evolutionary Computation, 12-16 July 2011, Dublin, Ireland, pp. 53-60. ISBN 978-1450312547 (2011) [Refereed Conference Paper] 
Xu, S, A novel higher order artificial neural networks, Proceedings of the Second International Symposium on Computational Mechanics and the 12th International Conference on the Enhancement and Promotion of Computational Methods in Engineering and Science, 30 November - 3 December 2009, Hong Kong, Macau, pp. 1507-1511. ISBN 978-0-7354-0778-7 (2010) [Refereed Conference Paper]
Montgomery, J and Chen, S, An analysis of the operation of differential evolution at high and low crossover rates, Proceedings of the IEEE Congress on Evolutionary Computation 2010, 18-23 July 2010, Barcelona, Spain, pp. 1807-1814. ISBN 978-1-4244-6909-3 (2010) [Refereed Conference Paper] 
Montgomery, J, Crossover and the different faces of differential evolution searches, Proceedings of the IEEE Congress on Evolutionary Computation 2010, 18-23 July 2010, Barcelona, Spain, pp. 1951-1958. ISBN 978-1-4244-6909-3 (2010) [Refereed Conference Paper] 
Xu, S, Data Mining Using an Adaptive HONN Model with Hyperbolic Tangent Neurons, Knowledge Management and Acquisition for Smart Systems and Services , 20 Aug - 3 Sept 2010, Daegu, Korea, pp. 73-81. ISBN 978-3-642-15036-4 (2010) [Refereed Conference Paper]
Xu, S, Features of higher order neural network with adaptive neurons, Proceeding of the 2nd International Conference on Software Engineering and Data Mining (SEDM2010), 23-25 June 2010, Chengdu, China, pp. 484-488. ISBN 978-1-4244-7324-3 (2010) [Refereed Conference Paper]
Montgomery, J and Moser, I, Parallel constraint handling in a multiobjective evolutionary algorithm for the automotive deployment problem, Proceedings of the 6th IEEE International Conference on E-Science Workshops 2010, 7-10 December 2010, Brisbane, Australia, pp. 104-109. ISBN 978-1-4244-8988-6 (2010) [Refereed Conference Paper] 
Xu, S and Chen, L, Adaptive Higher Order Neural Networks , Proceedings of the 2009 WRI Global Congress on Intelligent Systems, 19-21 May 2009, Xiamen, China, pp. 26-30. ISBN 978-0-7695-3571-5 (2009) [Refereed Conference Paper]
Xu, S and Chen, L, Adaptive Higher Order Neural networks for Effective data Mining, Sixth International Symposium on Neural Networks (ISNN 2009), 26-29 May 2009, Wuhan, China, pp. 165-173. ISBN 978-3-642-01216-7 (2009) [Refereed Conference Paper]
Montgomery, J, Differential evolution: difference vectors and movement in solution space, Proceedings of the IEEE Congress on Evolutionary Computation 2009, 18-21 May 2009, Trondheim, Norway, pp. 2833-2840. ISBN 978-1-4244-2958-5 (2009) [Refereed Conference Paper] 
Montgomery, J, The effects of different kinds of move in differential evolution searches, Artificial Life: Borrowing from Biology, 1-4 December 2009, Melbourne, Australia, pp. 272-281. ISBN 978-3-642-10426-8 (2009) [Refereed Conference Paper] 
Xu, S and Chen, L, A novel approach for determining the optimal number of hidden layer neurons for FNN's and its application in data mining, Proceedings The 5th International Conference on Information Technology and Applications, 23-26 June 2008, Carins, Qld, pp. 683-686. ISBN 978-0-9803267-2-7 (2008) [Refereed Conference Paper] 
Xu, S and Chen, L, Application of new adaptive higher order neural networks in data mining, Proceedings International Conference on Computer Science and Software Engineering CSSE 2008, 12-14 December 2008, Wuhan, China, pp. 115-118. ISBN 978-0-7695-3336-0 (2008) [Refereed Conference Paper] 
Xu, S and Zhang, M, A New Adaptive Neural Network Model for Financial Data Mining, Proceedings part 1, 4th International Symposium on Neural Networks, 3-7 June 2007, Nanjing, China, pp. 1265-1273. ISBN 3-540-72382-X (2007) [Refereed Conference Paper] 
Lee, SH and Seo, SC and Yeom, SJ and Moon, K and Kang, MS and Kim, BG, A study on warning/detection degree of warranty claims data using natural network learning, Proceedings from the Sixth International Conference on Advanced Language Processing and Web Information Technology, 22-24 August, Henan, China, pp. 492-497. ISBN 9780769529301 (2007) [Refereed Conference Paper] 
Montgomery, J, Alternative solution representations for the job shop scheduling problem in ant colony optimisation, Proceedings of the Third Australian Conference on Artificial Life (ACAL07), 4-6 December 2007, Gold Coast, Australia, pp. 1-12. ISBN 9783540769309 (2007) [Refereed Conference Paper]
Phan, PA and Gale, TJ, Direct Adaptive Fuzzy control with less restrictions on the control gain, CIMCA 2006 jointly with IAWTIC 2006, Proceedings, 29/11/2006-1/12/2006, Sydney, Australia, pp. 1-6. ISBN 0-7695-2731-0 (2006) [Refereed Conference Paper] 
Montgomery, J, Higher order pheromone models in ant colony optimisation, Proceedings of the 5th International Workshop on Ant Colony Optimization and Swarm Intelligence (ANTS 2006), 4-7 September 2006, Brussels, Belgium, pp. 428-435. ISBN 9783540384823 (2006) [Refereed Conference Paper]
Montgomery, J and Fayad, C and Petrovic, S, Solution representation for job shop scheduling problems in ant colony optimisation, Proceedings of the Fifth International Workshop on Ant Colony Optimization and Swarm Intelligence (ANTS 2006), 4-7 September 2006, Brussels, Belgium, pp. 484-491. ISBN 9783540384823 (2006) [Refereed Conference Paper]
Temby, L and Vamplew, PW and Berry, AM, Accelerating Real-Valued Genetic Algorithms Using Mutation-with-Momentum, Lecture Notes in Artificial Intelligence, December 2005, Sydney, pp. 1108-1111. ISBN 3-540 30462 2 (2005) [Refereed Conference Paper] 
Phan, PA and Gale, TJ, Adaptive Fuzzy Controller: Approximation Error Estimator Approach, CD - Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, 14-16 February, 2005, Innsbruck, Austria, pp. 615-621. ISBN 0-88986-459-4 (2005) [Refereed Conference Paper] 
Xu, S and Zhang, M, Data Mining - An Adaptive Neural Network Model for Financial Analysis, Proceedings Third International Conference on Information Technology and Application, 4-7 July 2005, Sydney, Australia, pp. 336-340. ISBN 0-7695-2316-1 (2005) [Refereed Conference Paper] 
Vamplew, PW and Ollington, RB, Global Versus Local Constructive Function Approximation for On-Line Reinforcement Learning, AI 2005 : advances in artificial intelligence : 18th Australian Joint Conference on Artificial Intelligence, December 2005, Sydney, pp. 113-122. ISBN 3-540-30462-2 (2005) [Refereed Conference Paper] 
Negnevitsky, M, Multi-Layer Neural Networks with Improved Learning Algorithms, Digital Image Computing: Techniques and Applications (DICTA 2005) Proceedings, 6-8 Dec., 2005, Cairns, Australia, pp. 1-6. ISBN 0-7695-2467-2 (2005) [Refereed Conference Paper] 
Gale, TJ, NARMA-L2 control of a pneumatic Ram, Proceedings of the 6th International Conference on Intelligent Technologies (InTech'05), 14-16 December 2005, Phuket, Thailand, pp. 310-315. ISBN 974-615-226-2 (2005) [Refereed Conference Paper] 
Vamplew, PW and Ollington, RB, On-Line Reinforcement Learning Using Cascade Constructive Neural Networks, Knowledge-based intelligent information and engineering systems : 9th international conference : proceedings, September 2005, Melbourne, pp. 562-568. ISBN 3-540-28896-1 (2005) [Refereed Conference Paper] 
Montgomery, J and Randall, M and Hendtlass, T, Structural advantages for ant colony optimisation inherent in permutation scheduling problems, Proceedings of the 18th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems (IEA/AIE 2005), 22-24 June 2005, Bari, Italy, pp. 218-228. ISBN 978-3-540-26551-1 (2005) [Refereed Conference Paper]
Berry, AM and Vamplew, PW, The Combative Accretion Model - Multiobjective Optimisation Without Explicit Pareto Ranking, Proceedings Evolutionary Multi-Criterion Optimization, March 2005, Guanajuato, Mexico, pp. 79 - 91. ISBN 3-540-24983-4 (2005) [Refereed Conference Paper] 
Kiatcharoenpol, T and Karri, V, A Monitoring System of Drill Wear States using a Hybrid Neural Network, Proceedings of The 11th International Manufacturing Conference: Advances in Materials Maufacturing Science and Technology, 18-20 September, 2004, Jinan, China, pp. 697-701. ISBN 0-87849-956-3 (2004) [Refereed Conference Paper] 
Ammerlaan, JD and Wright, DA, Adaptive Cooperative Fuzzy Logic Controller, Autralian Computer Science Communications, January 2004, Dunedin, New Zealand, pp. 255-263. ISBN 1-920682-05-8 (2004) [Refereed Conference Paper] 
Potter, CW and Negnevitsky, M, ANFIS Application to Competition on Artificial Time Series (CATS), CD - Proceedings of 2004 IEEE International Conference on Fuzzy Systems, 25-29 July 2004, Budapest, Hungary ISBN 0-7803-8354-0 (2004) [Refereed Conference Paper] 
Le, DTA and Muttaqi, KM and Negnevitsky, M, Application of Artificial Neural Networks for Modelling of Composite Loads in Power Systems, Proceedings of The 2nd International Conference on Artificial Intelligence in Science and Technology, 21-25 November 2004, Hobart, Tas. Australia, pp. 153-157. ISBN 1 86295 209 4 (2004) [Refereed Conference Paper] 
Lim, MJ and Negnevitsky, M and Hartnett, JS, Artificial Intelligence Applications for Analysis of E-mail Communication Activities, Proceedings of The 2nd International Conference on Artificial Intelligence in Science and Technology, 21-25 November 2004, Hobart, Tas. Australia, pp. 109-113. ISBN 1 86295 209 4 (2004) [Refereed Conference Paper] 
Wangphanich, P and Gale, TJ, Artificial Intelligence for System Dynamics Modelling, Proceedings of The 2nd International Conference on Artificial Intelligence in Science and Technology, 21-25 November 2004, Hobart, Tas. Australia, pp. 227-231. ISBN 1 86295 209 4 (2004) [Refereed Conference Paper] 
Negnevitsky, M, Design of a Hybrid Neuro-Fuzzy Decision-Support System with a Heterogeneous Structure, CD - Proceedings of 2004 IEEE International Conference on Fuzzy Systems, 25-29 July 2004, Budapest, Hungary ISBN 0-7803-8354-0 (2004) [Refereed Conference Paper] 
Butler, DA and Karri, V, Pavement Feature Recognition for Automative Application using LabVIEW Based Intelligent Tools, Proceedings of The 2nd International Conference on Artificial Intelligence in Science and Technology, 21-25 November, 2004, Hobart, Tasmania, Australia, pp. 232-237. ISBN 1 86295 209 4 (2004) [Refereed Conference Paper] 
Berry, AM and Vamplew, PW, PoD Can Mutate: A Simple Dynamic Directed Mutation Approach for Genetic Algorithms, Proceedings AISAT 2004 The 2nd International Conference on Artificial Intelligence in Science and Technology, 21-25 November 2004, Hobart, Tasmania, pp. 200-205. ISBN 1 86295 209 4 (2004) [Refereed Conference Paper] 
Sugden, C and Gale, TJ, Road Car Positioning using dead reckoning and feed forward neural networks, Proceedings of The 2nd International Conference on Artificial Intelligence in Science and Technology, 21-25 November 2004, Hobart, Tas. Australia, pp. 238-243. ISBN 1 86295 209 4 (2004) [Refereed Conference Paper] 
Butler, DA and Karri, V, Road Surface Prediction using Artificial Neural Networks during Stable Driving Conditions, Proceedings of The 2nd International Conference on Artificial Intelligence in Science and Technology, 21-25 November, 2004, Hobart, Tasmania, Australia, pp. 244-249. ISBN 1 86295 209 4 (2004) [Refereed Conference Paper] 
Montgomery, J and Randall, M and Hendtlass, T, Search bias in constructive metaheuristics and implications for ant colony optimisation, Proceedings of the 4th International Workshop (ANTS 2004), 5-8 September 2004, Brussels, Belgium, pp. 390-397. ISBN 9783540226727 (2004) [Refereed Conference Paper]
Potter, CW and Negnevitsky, M and Kieran, J, Short-term wind forecasting application using an Adaptive Neural-Fuzzy Inference System (ANFIS), Proceedings of The 2nd International Conference on Artificial Intelligence in Science and Technology, 21-25 November 2004, Hobart, Tas. Australia, pp. 175-180. ISBN 1 86295 209 4 (2004) [Refereed Conference Paper] 
Potter, CW and Ringrose, MJ and Negnevitsky, M, Short-term Wind Forecasting Techniques for Power Generation, CD-Proceedings of The Australasian Universities Power Engineering Conference, 26-29 September 2004, Brisbane, Queensland. Australia, pp. 6 pages. ISBN 1-864- 99775-3 (2004) [Refereed Conference Paper] 
Phan, PA and Gale, TJ, Stable Adaptive Fuzzy Controller with Approximation Error Estimators, Proceedings of The 2nd International Conference on Artificial Intelligence in Science and Technology, 21-25 November 2004, Hobart, Tas. Australia, pp. 295-300. ISBN 1 86295 209 4 (2004) [Refereed Conference Paper] 
Wilkins, OJ and Karri, V and Ozarska, B, Time to Failure Estimation in Timber Joints using Neural Networks, Proceedings of The 2nd International Conference on Artificial Intelligence in Science and Technology, 21-25 November, 2004, Hobart, Tasmania, Australia, pp. 218-220. ISBN 1 86295 209 4 (2004) [Refereed Conference Paper] 
Berry, AM and Vamplew, PW, A Simplified Artificial Life Model for Multiobjective Optimisation: A Preliminary Report, CEC 2003 Proceedings, 8 - 12 December 2003, Canberra, ACT, pp. 1331 - 1339. ISBN 0-7803-7804-0 (2003) [Refereed Conference Paper] 
Ollington, RB and Vamplew, PW, Adaptive Response Function Neurons, The Second International Conference on Computational Intelligence, Robotics and Autononymous Systems, 15-18 December 2003, Singapore EJ ISSN 0219-6131 (2003) [Refereed Conference Paper] 
Montgomery, J and Randall, M and Hendtlass, T, Automated selection of appropriate pheromone representations in ant colony optimisation, Proceedings of the 1st Australian Conference on Artificial Life (ACAL 2003), 6-7 December 2003, Canberra, ACT, pp. 170-184. ISBN 0975152807 (2003) [Refereed Conference Paper]
Xu, S and Zhang, M, An Adaptive Activation Function for Higher Order Neural Networks, Proceedings / AI 2002: Advances in Artificial Intelligence, 2-6 December 2002, Canberra, Australia, pp. 356-362. ISBN 3-540-00197-2 (2002) [Refereed Conference Paper] 
Montgomery, J and Randall, M, Anti-pheromone as a tool for better exploration of search space, Proceedings of the 3rd International Workshop on Ant Algorithms (ANTS 2002), 12-14 September 2002, Brussels, Belgium, pp. 100-110. ISBN 978-3-540-44146-5 (2002) [Refereed Conference Paper]
Randall, M and Montgomery, J, Candidate set strategies for ant colony optimisation, Proceedings of the 3rd International Workshop on Ant Algorithms (ANTS 2002), 12-14 September 2002, Brussels, Belgium, pp. 243-249. ISBN 9783540441465 (2002) [Refereed Conference Paper]
Xu, S and Zhang, M, A Novel Adaptive Activation Function, International Joint Conference on Neural Networks, July 15-19, 2001, Washington, DC, pp. 2779- 2782. ISBN 0-7803-7046-5 (2001) [Non Refereed Conference Paper] 
Hulme, D and Xu, S, Application of Genetic Algorithms to the Optimisation of Neural Network Configuration for Stock Market Forecasting, AI 2001: Advances in Artificial Intelligence, December 10-14, 2001, Adelaide, pp. 285-296. ISBN 3-540-42960-3 (2001) [Refereed Conference Paper] 
Malhotra, V, On comparison of fuzzy values, Proceedings International ICSC Symposia on Soft Computing (SOCO 2001) and Intelligent Systems for Industry (ISFI 2001) CD-ROM, June 26-29,2001, Paisley, Scotland, pp. 1-7. ISBN 3-906454-27-4 (2001) [Refereed Conference Paper] 
Malhotra, V, Relational operations on inexact values, Proceedings of Modelling and Simulation 2001, 16-18 May 2001, Pittsburg, pp. 1-6. ISBN 0-88986-277-X (2001) [Refereed Conference Paper] 
Randall, M and Montgomery, J, The accumulated experience ant colony for the travelling salesman problem, Proceedings of the Inaugural Workshop on Artificial Life (AL 01), 11 December 2001, Adelaide, South Australia, pp. 79-87. ISBN 0731705084 (2001) [Refereed Conference Paper]
Karri, V and Negnevitsky, M, AISAT 2000 - International Conference on Artificial Intelligence in Science and Technology - Proceedings, The University of Tasmania, Hobart, 17-20 December 2000, Hobart, pp. 343. (2000) [Conference Edited] 
Kelareva, GV and Negnevitsky, M and Carter, SJB, Application of a Fuzzy Neural Network for Predicting Air Quality, Proceedings of the International Conference on Artificial Intelligence in Science and Technology - AISAT 2000, 17-20 December 2000, Hobart, pp. 169-173. (2000) [Refereed Conference Paper] 
Karri, V and Frost, F, Application of General Regression Neural Network for Estimation and Control in a Dynamic Industry Environment, Proceedings of the International Conference on Artificial Intelligence in Science and Technology - AISAT 2000, 17-20 December 2000, Hobart, pp. 285-290. (2000) [Refereed Conference Paper] 
Karri, V and Frost, F, Combined Kohonen and RBF Networks to Predict Electrolyte Additives in Hall-Heroult Cell, Advances in Intelligent Systems: Theory and Applications, 2 - 4 February,2000, Canberra, Australia, pp. 13-18. (2000) [Refereed Conference Paper] 
Karri, V, Drilling Performance Prediction Using General Regression Neural Networks, Proceedings of the 13th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems: ntelligent Problem Solving - Methodologies and Approaches, June 19-22,2000, New Orleans, Louisiana, USA, pp. 67-72. ISBN 3 540-67689-9 (2000) [Refereed Conference Paper] 
Karri, V, General Regression Neural Networks to Estimate Surface Finish and Power in Cylindrical Turning Operations, Proceedings of the International Conference on Artificial Intelligence IC-AI'2000, June 26-29,2000, Las Vegas, USA, pp. 1532-1536. ISBN 1-892512-58-0 (2000) [Refereed Conference Paper] 
Frost, F and Karri, V, Identifying Significant Parameters for Hall-Heroult Process Using General Regression Neural Network, Proceedings of the 13th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems: ntelligent Problem Solving - Methodologies and Approaches, June 19-22,2000, New Orleans, Louisiana, USA, pp. 73-78. ISBN 3 540-67689-9 (2000) [Refereed Conference Paper] 
Frost, F and Karri, V, Incorporating Operations Research Techniques to Maximise Economic Benefit of Neural Network Modelling, Proceedings of the International Conference on Artificial Intelligence in Science and Technology - AISAT 2000, 17-20 December 2000, Hobart, pp. 180-184. (2000) [Refereed Conference Paper] 
Frost, F and Karri, V, Intelligent Control of Aluminium Reduction Cells using Backpropagation Neural Networks, Advances in Intelligent Systems: Theory and Applications, 2 - 4 February,2000, Canberra, Australia, pp. 34-39. (2000) [Refereed Conference Paper] 
Xu, S and Zhang, M, Justification of a Neuron-Adaptive Activation Function, IJCNN Proceedings, 24 - 27 July 2000, Como, Italy, pp. 456-470. ISBN 0-7695-0619-4 (2000) [Non Refereed Conference Paper]
Karri, V, Mechanics of Cutting and Neural Network Approaches to Turning Performance, Proceedings of the International Conference on Artificial Intelligence IC-AI'2000, June 26-29,2000, Las Vegas, USA, pp. 1527-1531. ISBN 1-892512-58-0 (2000) [Refereed Conference Paper] 
Karri, V and Frost, F, Need for Optimisation Techniques to Select Neural Network Algorithms for Process Modelling of Reduction Cell, Proceedings of 6th Pacific Rim International Conference on Artificial Intelligence: PRICAI 2000-Topics in Artificial Intelligence, August 21 - September 1,2000, Melbourne, pp. 480-489. ISBN 3 540-67925-1 (2000) [Refereed Conference Paper] 
Ho, K and Chua, ZJ and Negnevitsky, M, Neuro-fuzzy Classifier for Recognition of Power Quality Disturbances, Proceedings of the International Conference on Artificial Intelligence in Science and Technology - AISAT 2000, 17-20 December 2000, Hobart, pp. 224-230. (2000) [Refereed Conference Paper] 
Frost, F and Karri, V, Productavity Improvements through Prediction of Electrolite Temperature in Aluminium Reduction Clell Using BP Neural Network, Proceedings of 6th Pacific Rim International Conference on Artificial Intelligence: PRICAI 2000-Topics in Artificial Intelligence, August 21 - September 1,2000, Melbourne, pp. 490-499. ISBN 3 540-67925-1 (2000) [Refereed Conference Paper] 
Hoang, TA and Nguyen, DT, Wavelet-based Neural Network for the Classification of Power Quality Disturbances, Proceedings of the International Conference on Artificial Intelligence in Science and Technology - AISAT 2000, 17-20 December 2000, Hobart, pp. 273-278. (2000) [Refereed Conference Paper] 
Thesis
Montgomery, EJ, Solution biases and pheromone representation selection in ant colony optimisation (2005) [PhD] 

This list was generated on Mon Dec 9 06:47:52 2019.