Towards designing neural network ensembles by evolution

Yong LIU, Xin YAO

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

22 Citations (Scopus)


This paper proposes a co-evolutionary learning system, i.e., CELS, to design neural network (NN) ensembles. CELS addresses the issue of automatic determination of the number of individual NNs in an ensemble and the exploitation of the interaction between individual NN design and combination. The idea of CELS is to encourage different individual NNs in the ensemble to learn different parts or aspects of the training data so that the ensemble can learn the whole training data better. The cooperation and specialisation among different individual NNs are considered during the individual NN design. This provides an opportunity for different NNs to interact with each other and to specialise. Experiments on two real-world problems demonstrate that CELS can produce NN ensembles with good generalisation ability.
Original languageEnglish
Title of host publicationParallel Problem Solving from Nature : PPSN V 5th International Conference, Amsterdam, The Netherlands, September 27-30, 1998, Proceedings
EditorsAgoston E. EIBEN, Thomas BÄCK, Marc SCHOENAUER, Hans-Paul SCHWEFEL
PublisherSpringer Berlin Heidelberg
Number of pages10
ISBN (Electronic)9783540496724
ISBN (Print)9783540650782
Publication statusPublished - 1998
Externally publishedYes
EventPPSN 1998: International Conference on Parallel Problem Solving from Nature - Amsterdam, Netherlands
Duration: 27 Sept 199830 Sept 1998

Publication series

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


ConferencePPSN 1998: International Conference on Parallel Problem Solving from Nature


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