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

doi:10.1007/11494669_139

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 output › peer-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 language	English
Title of host publication	Computational Intelligence and Bioinspired Systems
Place of Publication	Heidelberg, Germany
Pages	1132-1139
Number of pages	8
Volume	3512
DOIs	https://doi.org/10.1007/11494669_139
State	Published - 2005
Event	8th International Work-Conference on Artificial Neural Networks, IWANN 2005 - Vilanova i la Geltru, Barcelona Duration: 8 Jun 2005 → 10 Jun 2005

Publication series

Name	Lecture Notes in Computer Science
ISSN (Print)	0302-9743

Conference

Conference	8th International Work-Conference on Artificial Neural Networks, IWANN 2005
Country/Territory	Spain
City	Barcelona
Period	2005-06-08 → 2005-06-10

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/11494669_139License: Unspecified

Cite this

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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.",

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Benítez-Read, JS, Ruan, D, Ruiz-Enciso, JA, López-Callejas, R & Pacheco-Sotelo, JO 2005, Use of ANN in a research reactor power fuzzy controller. in Computational Intelligence and Bioinspired Systems. vol. 3512, Lecture Notes in Computer Science, Heidelberg, Germany, pp. 1132-1139, 8th International Work-Conference on Artificial Neural Networks, IWANN 2005, Barcelona, Spain, 2005-06-08. https://doi.org/10.1007/11494669_139

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