Resilient back propagation learning algorithm for recurrent fuzzy neural networks
2004; Institution of Engineering and Technology; Volume: 40; Issue: 1 Linguagem: Inglês
10.1049/el
ISSN1350-911X
Autores Tópico(s)Fuzzy Logic and Control Systems
ResumoAn efficient training method for recurrent fuzzy neural networks is proposed. The method modifies the RPROP algorithm, originally developed for static neural networks, in order to be applied to dynamic systems. A comparative analysis with the standard back propagation through time is given, indicating the effectiveness of the proposed algorithm.
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