The evolution of the evolving neuro-fuzzy systems: from expert systems to spiking-, neurogenetic-, and quantum inspired

Kasabov, N
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This chapter follows the development of a class of intelligent information systems called evolving neuro-fuzzy systems (ENFS). ENFS combine the adaptive/ evolving learning ability of neural networks and the approximate reasoning and linguistically meaningful explanation features of fuzzy rules. The review includes fuzzy expert systems, fuzzy neuronal networks, evolving connectionist systems, spiking neural networks, neurogenetic systems, and quantum inspired systems, all discussed from the point of few of fuzzy rule interpretation as new knowledge acquired during their adaptive/evolving learning. This review is based on the author’s personal (evolving) research, integrating principles from neural networks, fuzzy systems and nature.

On Fuzziness: Studies in Fuzziness and Soft Computing Volume 298, 2013, pp 271-280
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