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Application of new adaptive higher order neural networks in data mining

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Xu, S and Chen, L (2008) Application of new adaptive higher order neural networks in data mining. In: 2008 International Conference on Computer Science and Software Engineering (CSSE 2008), 12-14 Dec 2008, Wuhan, China.

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Abstract

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.

Item Type: Conference or Workshop Item (Paper)
Keywords: higher order neural networks, data mining
Additional Information: Copyright 2008 IEEE
Date Deposited: 13 Jan 2009 23:09
Last Modified: 18 Nov 2014 03:54
URI: http://eprints.utas.edu.au/id/eprint/8189
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