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A machine learning approach for modeling and its applications
Citation
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]
Copyright Statement
Copyright 2013 Dime Università di Genova
Official URL: http://www.msc-les.org/conf/emss2013/
Abstract
This paper proposes a new learning algorithm for Higher Order Neural Networks for the purpose of modelling and applies it in three benchmark problems. Higher Order Neural Networks (HONNs) are Artificial Neural Networks (ANNs) in which the net input to a
computational neuron is a weighted sum of its inputs and products of its inputs (rather than just a weighted sum of its inputs as in traditional ANNs). It was well known that HONNs can implement invariant pattern recognition. The new learning algorithm proposed is an Extreme Learning Machine (ELM) algorithm. ELM randomly chooses hidden neurons and analytically determines the output weights. With ELM algorithm only the connection weights between hidden layer and output layer are adjusted. This paper proposes an ELM algorithm for
HONN models and applies it in an image processing problem, a medical problem, and an energy efficiency problem. The experimental results demonstrate the advantages of HONN models with the ELM algorithm in such aspects as significantly faster learning and improved
generalization abilities (in comparison with standard HONN and traditional ANN models).
Item Details
Item Type: | Refereed Conference Paper |
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Keywords: | artificial neural network, higher order neural network, extreme learning machine, machine learning |
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) |
UTAS Author: | Kang, B-H (Professor Byeong Kang) |
ID Code: | 88625 |
Year Published: | 2013 |
Deposited By: | Information and Communication Technology |
Deposited On: | 2014-02-11 |
Last Modified: | 2018-03-18 |
Downloads: | 2 View Download Statistics |
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