Use of ANN in a Research Reactor Power Fuzzy Controller

Research output: Contribution to report/book/conference proceedingsIn-proceedings paper

Authors

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

Institutes & Expert groups

Documents & links

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.

Details

Original languageEnglish
Title of host publicationComputational Intelligence and Bioinspired Systems
Place of PublicationHeidelberg, Germany
Pages1132-1139
Publication statusPublished - Jun 2005
Event8th International Work-Conference on Artificial Neural Networks, IWANN 2005 - Vilanova i la Geltru, Barcelona, Spain
Duration: 8 Jun 200510 Jun 2005

Conference

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

Keywords

  • Neural Networks, IWANN 2005, Computational Intelligence, Bioinspired Systems

ID: 186348