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Application of new adaptive higher order neural networks in data mining
Citation
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
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. © 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 |
| Downloads: | 0 |
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