1 July 1992 Fuzzy neural computing systems
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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 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.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Madan M. Gupta, Madan M. Gupta, "Fuzzy neural computing systems", Proc. SPIE 1710, Science of Artificial Neural Networks, (1 July 1992); doi: 10.1117/12.140116; https://doi.org/10.1117/12.140116


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