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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', paper presented at the 2008 International Conference on Computer Science and Software Engineering (CSSE 2008), 12-14 Dec 2008, Wuhan, China.

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Available under University of Tasmania Standard License.


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)
Authors/Creators:Xu, S and Chen, L
Keywords: higher order neural networks, data mining
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Copyright 2008 IEEE

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