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Application of new adaptive higher order neural networks in data mining

conference contribution
posted on 2023-05-23, 04:15 authored by Shuxiang XuShuxiang Xu, Chen, L
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.

History

Publication title

Proceedings International Conference on Computer Science and Software Engineering CSSE 2008

Editors

Kawada, S

Pagination

115-118

ISBN

978-0-7695-3336-0

Department/School

School of Information and Communication Technology

Publisher

IEEE Computer Society

Place of publication

Los Alamitos, California

Event title

International Conference on Computer Science and Software Engineering (CSSE)

Event Venue

Wuhan, China

Date of Event (Start Date)

2008-12-12

Date of Event (End Date)

2008-12-14

Repository Status

  • Restricted

Socio-economic Objectives

Information systems, technologies and services not elsewhere classified

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