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CSSE
2008
IEEE

Application of New Adaptive Higher Order Neural Networks in Data Mining

9 years 5 months ago
Application of New Adaptive Higher Order Neural Networks in Data Mining
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.
Shuxiang Xu, Ling Chen
Added 29 May 2010
Updated 29 May 2010
Type Conference
Year 2008
Where CSSE
Authors Shuxiang Xu, Ling Chen
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