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 |
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Title of host publication | Computational Intelligence and Bioinspired Systems |
Place of Publication | Heidelberg, Germany |
Pages | 1132-1139 |
State | Published - Jun 2005 |
Event | 8th International Work-Conference on Artificial Neural Networks, IWANN 2005 - Vilanova i la Geltru, Barcelona Duration: 8 Jun 2005 → 10 Jun 2005 |
Conference
Conference | 8th International Work-Conference on Artificial Neural Networks, IWANN 2005 |
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Country/Territory | Spain |
City | Barcelona |
Period | 2005-06-08 → 2005-06-10 |