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Application of new adaptive higher order neural networks in data mining


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]

DOI: doi:10.1109/CSSE.2008.897


This paper introduces an adaptive Higher Order Neural Network (HONN) model and applies it in data mining such as simulating and forecasting government taxation revenues. The proposed adaptive HONN model offers significant advantages over conventional Artificial Neural Network (ANN) models such as much reduced network size, faster training, as well as much improved simulation and forecasting errors. The generalization ability of this HONN model is explored and discussed. A new approach for determining the best number of hidden neurons is also proposed. © 2008 IEEE.

Item Details

Item Type:Refereed Conference Paper
Research Division:Information and Computing Sciences
Research Group:Machine learning
Research Field:Neural networks
Objective Division:Information and Communication Services
Objective Group:Information systems, technologies and services
Objective Field:Information systems, technologies and services not elsewhere classified
UTAS Author:Xu, S (Dr Shuxiang Xu)
ID Code:54008
Year Published:2008
Deposited By:Information and Communication Technology
Deposited On:2009-02-06
Last Modified:2015-02-24

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