Fuzzy logic and neural networks
Madan M. Gupta · 2003
Some basic principles of fuzzy neural computing using synaptic and somatic operations are presented. The neural systems based upon conventional algebraic synaptic (confluence) and somatic (aggregation) operations are briefly reviewed. A detailed neuronal morphology based upon fuzzy logic and its generalization in the form of T-operators are provided. For such fuzzy logic based neurons, the learning and adaptation algorithm is developed.>