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.
|Title of host publication||Computational Intelligence and Bioinspired Systems|
|Place of Publication||Heidelberg, Germany|
|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||8th International Work-Conference on Artificial Neural Networks, IWANN 2005|
|Period||2005-06-08 → 2005-06-10|