Fuzzy cellular neural networks: theory

Fuzzy cellular neural networks (FCNN) are novel classes of cellular neural networks. In this paper, the basic theory of FCNN is presented. FCNN is a generalization of CNN by using fuzzy operations in the synaptic law calculation allowing us to combine the low level information processing capability of CNNs with the high level information processing capability, such as image understanding, of fuzzy systems. The FCNN structures are based on the uncertainties in human cognitive processes and in modeling neural systems, and provide an interface between the human expert and the classical CNN.