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Multilayer Perceptrons Constructed of Fuzzy Flip-Flops

TitleMultilayer Perceptrons Constructed of Fuzzy Flip-Flops
Publication TypeConference Paper
Year of Publication2009
Publication LanguageEnglish
Pagination9-14
AuthorsLovassy, R., L. T. Kóczy, and L. Gál
Conference Name4th International Symposium on Computational Intelligence and Intelligent Informatics, ISCIII
Conference LocationEgypt
Abstract

The target of this paper is to propose a hybrid combination of the three main branches of Computational Intelligence, namely Fuzzy Systems, Neural Networks and Evolutionary Computing. The function approximation properties of fuzzy J-K and D flip-flops based feedforward neural network optimized and trained with a novel evolutionary algorithm based technique; the Bacterial Memetic Algorithm with Modified Operator Execution Order (BMAM) is studied.