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Proceedings Paper

Fuzzy neural computing systems
Author(s): Madan M. Gupta
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Paper 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 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.

Paper Details

Date Published: 1 July 1992
PDF: 11 pages
Proc. SPIE 1710, Science of Artificial Neural Networks, (1 July 1992); doi: 10.1117/12.140116
Show Author Affiliations
Madan M. Gupta, Univ. of Saskatchewan (Canada)


Published in SPIE Proceedings Vol. 1710:
Science of Artificial Neural Networks
Dennis W. Ruck, Editor(s)

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