Optimizing Fuzzy Flip-Flop Based Neural Networks by Bacterial Memetic Algorithm
نویسندگان
چکیده
In our previous work we proposed a Multilayer Perceptron Neural Networks (MLP NN) consisting of fuzzy flipflops (F3) based on various operations. We showed that such kind of fuzzy-neural network had good learning properties. In this paper we propose an evolutionary approach for optimizing fuzzy flip-flop networks (FNN). Various popular fuzzy operation and three different fuzzy flip-flop types will be compared from the point of view of the respective fuzzy-neural networks’ approximation capability. Keywords— Bacterial Memetic Algorithm, feedbacked fuzzy J-K and fuzzy D flip-flops, Multilayer Perceptron Neural Networks
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