Adapting the gain of an FLC with genetic algorithms

DOI10.1016/S0888-613X(97)00001-7zbMath0956.68538MaRDI QIDQ1125752

Luis Magdalena

Publication date: 1997

Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)

zbMATH Keywords

knowledge-based systemsfuzzy logic controllers

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Fuzzy control/observation systems (93C42) Theory of languages and software systems (knowledge-based systems, expert systems, etc.) for artificial intelligence (68T35)

Related Items (7)

On the role of context in hierarchical fuzzy controllers ⋮ SUM NORMAL OPTIMIZATION OF FUZZY MEMBERSHIP FUNCTIONS ⋮ Ten years of genetic fuzzy systems: Current framework and new trends. ⋮ Including a simplicity criterion in the selection of the best rule in a genetic fuzzy learning algorithm ⋮ Learning fuzzy partitions in FIR methodology ⋮ A STUDY ABOUT THE INCLUSION OF LINGUISTIC HEDGES IN A FUZZY RULE LEARNING ALGORITHM ⋮ A genetic learning process for the scaling factors, granularity and contexts of the fuzzy rule-based system data base

Cites Work

• A fuzzy logic controller with learning through the evolution of its knowledge base
• A linguistic self-organizing process controller
• Genetic algorithms and soft computing
• Fuzzy logic in control systems: fuzzy logic controller. II
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