An optimal design of neuro-FLC by Lamarckian co-adaption of learning and evolution

DOI10.1016/S0165-0114(98)00416-3zbMath0985.68061OpenAlexW2029104129MaRDI QIDQ5946486

Daijin Kim, Han-Pyul Lee

Publication date: 3 June 2002

Published in: Fuzzy Sets and Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0165-0114(98)00416-3

zbMATH Keywords

genetic algorithmsfuzzy logic controllerbackpropagation learningLamarckian co-adaptationneuro-FLCTruck backer-upper control

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20)

Related Items (1)

Ten years of genetic fuzzy systems: Current framework and new trends.

Cites Work

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• Neural-network-based fuzzy logic control and decision system

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