Use of ANN in a Research Reactor Power Fuzzy Controller

Jorge S Benitez-Read, Da Ruan, Jorge A. Ruiz-Enciso, Régulo López-Callejas, Joel O Pacheco-Sotelo, Dirk Maes

    Research outputpeer-review

    Abstract

    Six artificial neural networks (ANN) were developed to compute the membership values of the consequents of a fuzzy rule evaluation table, which is part of a Mamdani type fuzzy controller. This controller is aimed to regulate the neutron power of a research nuclear reactor. The neural networks obtained were validated over a wide range of input data. These ANN offer the possibility of a parallel processing of the fuzzy inputs, thus reducing the response time of the controller.
    Original languageEnglish
    Title of host publicationComputational Intelligence and Bioinspired Systems
    Place of PublicationHeidelberg, Germany
    Pages1132-1139
    StatePublished - Jun 2005
    Event8th International Work-Conference on Artificial Neural Networks, IWANN 2005 - Vilanova i la Geltru, Barcelona
    Duration: 8 Jun 200510 Jun 2005

    Conference

    Conference8th International Work-Conference on Artificial Neural Networks, IWANN 2005
    Country/TerritorySpain
    CityBarcelona
    Period2005-06-082005-06-10

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