Optimizing fuzzy flip-flop based neural networks by bacterial memetic algorithm
Rita Lovassy, László Tamás Kóczy, László Gál · European Society for Fuzzy Logic and Technology Conference · 2009
In our previous work we proposed a Multilayer Perceptron Neural Networks (MLP NN) consisting of fuzzy flip- flops (F 3 ) 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.