Fuzzy sets and neurocomputation: knowledge-based networks

Witold Pedrycz

doi:10.1117/12.211789

13 June 1995 Fuzzy sets and neurocomputation: knowledge-based networks

Witold Pedrycz

Proceedings Volume 2493, Applications of Fuzzy Logic Technology II; (1995) https://doi.org/10.1117/12.211789
Event: SPIE's 1995 Symposium on OE/Aerospace Sensing and Dual Use Photonics, 1995, Orlando, FL, United States

Abstract

Fuzzy neural networks combining advantages of numerical computations of neural networks and symbolic processing originating from artificial intelligence are typical constructs of computational intelligence. The paper analyzes basic processing components (fuzzy neurons), proposes several general architectures, elaborates on learning algorithms, and provides a series of application cases.

Citation Download Citation

Witold Pedrycz "Fuzzy sets and neurocomputation: knowledge-based networks", Proc. SPIE 2493, Applications of Fuzzy Logic Technology II, (13 June 1995); https://doi.org/10.1117/12.211789

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