Paper
1 July 1992 Fuzzy neural computing systems
Madan M. Gupta
Author Affiliations +
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.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Madan M. Gupta "Fuzzy neural computing systems", Proc. SPIE 1710, Science of Artificial Neural Networks, (1 July 1992); https://doi.org/10.1117/12.140116
Lens.org Logo
CITATIONS
Cited by 12 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Fuzzy logic

Neurons

Mathematical modeling

Radon

Brain mapping

Computing systems

Artificial neural networks

RELATED CONTENT

Fuzzy neural networks: theory and applications
Proceedings of SPIE (October 10 1994)
Simulation software for neural networks
Proceedings of SPIE (August 19 1993)
Chaotic neurochips for fuzzy computing
Proceedings of SPIE (March 01 1994)

Back to Top