Fuzzy-neural computing: some advances

Abstract

In this paper we give some basic principles of fuzzy neural computing using synaptic and somatic operations. We first briefly review the neural systems based upon the conventional algebraic synaptic (confluence) and somatic (aggregation) operations. Then we provide a detailed neuronal morphology based upon fuzzy logic and its generalization in the form of T-operators. For such fuzzy logic based neurons, we then develop the learning and adaptation algorithm.