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Adaptive Higher Order Neural Networks

conference contribution
posted on 2023-05-23, 04:36 authored by Shuxiang XuShuxiang Xu, Chen, L
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.

History

Publication title

Proceedings of the 2009 WRI Global Congress on Intelligent Systems

Editors

Shang-Ming Zhou, Wenwu Wang

Pagination

26-30

ISBN

978-0-7695-3571-5

Department/School

School of Information and Communication Technology

Publisher

IEEE Computer Society Conference Publishing Services (CPS)

Place of publication

Los Alamitos, California

Event title

WRI Global Congress on Intelligent Systems (GCIS)

Event Venue

Xiamen, China

Date of Event (Start Date)

2009-05-19

Date of Event (End Date)

2009-05-21

Rights statement

Copyright © 2009 IEEE.

Repository Status

  • Restricted

Socio-economic Objectives

Information systems, technologies and services not elsewhere classified

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