Spatial Diversity in Reaction-Diffusion Fuzzy Cellular Networks
This paper deals with two main points. Firstly, a new type of Reaction-Diffusion Fuzzy Cellular Network, suitable to describe complex phenomena is defined. The second part of the work is devoted to investigate on the role played by diversity in this type of networks. In particular, the regularizing role of non organized spatial perturbation introduced in the membership functions of the proposed architecture is analyzed.
KeywordsMembership Function Lyapunov Exponent Fuzzy Rule Cellular Neural Network Regularization Effect
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