Use of ANN in a research reactor power fuzzy controller

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

    Research outputpeer-review


    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
    Number of pages8
    StatePublished - 2005
    Event8th International Work-Conference on Artificial Neural Networks, IWANN 2005 - Vilanova i la Geltru, Barcelona
    Duration: 8 Jun 200510 Jun 2005

    Publication series

    NameLecture Notes in Computer Science
    ISSN (Print)0302-9743


    Conference8th International Work-Conference on Artificial Neural Networks, IWANN 2005

    ASJC Scopus subject areas

    • Theoretical Computer Science
    • General Computer Science

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