eCite Digital Repository

Adaptive Higher Order Neural Networks

Citation

Xu, S and Chen, L, Adaptive Higher Order Neural Networks , Proceedings of the 2009 WRI Global Congress on Intelligent Systems, 19-21 May 2009, Xiamen, China, pp. 26-30. ISBN 978-0-7695-3571-5 (2009) [Refereed Conference Paper]


Preview
PDF
Restricted - Request a copy
207Kb
  

Copyright Statement

Copyright © 2009 IEEE.

Official URL: http://www.computer.org/

DOI: doi:10.1109/GCIS.2009.296

Abstract

This paper introduces an adaptive Higher Order Neural Network (HONN) and applies it in data mining such as Australian credit card assessment. The proposed adaptive HONN model offers significant advantages over conventional Artificial Neural Network (ANN) models such as more accurate predictions and the ability in handling incomplete/missing values in a dataset. A new approach for determining the best number of hidden neurons is also proposed.

Item Details

Item Type:Refereed Conference Paper
Keywords:Higher Order Neural Networks, Data Mining
Research Division:Information and Computing Sciences
Research Group:Artificial Intelligence and Image Processing
Research Field:Neural, Evolutionary and Fuzzy Computation
Objective Division:Information and Communication Services
Objective Group:Computer Software and Services
Objective Field:Computer Software and Services not elsewhere classified
Author:Xu, S (Dr Shuxiang Xu)
ID Code:60445
Year Published:2009
Deposited By:Information and Communication Technology
Deposited On:2010-02-05
Last Modified:2012-04-02
Downloads:0

Repository Staff Only: item control page