Spike-neural network with phase-receptor neurons in the problem of fuzzy clustering
In this work, architecture and self-learning algorithm of computational intelligence hybrid system of new generation - fuzzy spiking neural network - is considered. Method for encoding input signal by population coding based on fuzzy receptive neurons is described. Fuzzy clustering algorithm is proposed for the output layer of fuzzy spiking neural network.