An improved constructive neural network ensemble approach to medical diagnoses

Zhenyu WANG, Xin YAO, Yong XU

Research output: Book Chapters | Papers in Conference ProceedingsConference paper (refereed)Researchpeer-review

6 Citations (Scopus)

Abstract

Neural networks have played an important role in intelligent medical diagnoses. This paper presents an Improved Constructive Neural Network Ensemble (ICNNE) approach to three medical diagnosis problems. New initial structure of the ensemble, new freezing criterion, and a different error function are presented. Experiment results show that our ICNNE approach performed better for most problems. © Springer-Verlag Berlin Heidelberg 2004.
Original languageEnglish
Title of host publicationIntelligent Data Engineering and Automated Learning : IDEAL 2004 : 5th International Conference, Exeter, UK, August 25-27, 2004, Proceedings
EditorsZheng Rong YANG, Hujun YIN, Richard M. EVERSON
PublisherSpringer Berlin Heidelberg
Pages572-577
Number of pages6
ISBN (Electronic)9783540286516
ISBN (Print)9783540228813
DOIs
Publication statusPublished - 2004
Externally publishedYes
Event5th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2004 - Exeter, United Kingdom
Duration: 25 Aug 200427 Aug 2004

Publication series

NameLecture Notes in Computer Science
PublisherSpringer Berlin, Heidelberg
Volume3177
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference5th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2004
Country/TerritoryUnited Kingdom
CityExeter
Period25/08/0427/08/04

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