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Evolving artificial neural networks with FINCH

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    4 Scopus citations

    Abstract

    We present work with the FINCH automatic evolutionary programming tool to evolve code that generates Artificial Neural Networks (ANNs) that perform desired tasks. We show how FINCH can be used to evolve code that generates an ANN that performs a simple classifying task with proficiency.

    Original languageEnglish
    Title of host publicationGECCO 2013 - Proceedings of the 2013 Genetic and Evolutionary Computation Conference Companion
    PublisherAssociation for Computing Machinery
    Pages1719-1720
    Number of pages2
    ISBN (Print)9781450319645
    DOIs
    StatePublished - 1 Jan 2013
    Event15th Annual Conference on Genetic and Evolutionary Computation, GECCO 2013 Companion Material - Amsterdam, Netherlands
    Duration: 6 Jul 201310 Jul 2013

    Publication series

    NameGECCO 2013 - Proceedings of the 2013 Genetic and Evolutionary Computation Conference Companion

    Conference

    Conference15th Annual Conference on Genetic and Evolutionary Computation, GECCO 2013 Companion Material
    Country/TerritoryNetherlands
    CityAmsterdam
    Period6/07/1310/07/13

    Keywords

    • FINCH
    • Neuroevolution

    ASJC Scopus subject areas

    • Computational Mathematics

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