Library Open Repository

Application of new adaptive higher order neural networks in data mining

Downloads

Downloads per month over past year

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.

[img]
Preview
PDF (CSSE2008, Wuhan, China)
CSSE2008_publis...pdf | Download (216kB)
Available under University of Tasmania Standard License.

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
Related URLs:
Item Statistics: View statistics for this item

Actions (login required)

Item Control Page Item Control Page