Extracting compact fuzzy rules based on adaptive data approximation using B-splines

DOI10.1016/S0020-0255(02)00167-6zbMath1010.93524OpenAlexW2021800333MaRDI QIDQ1857071

S. Köper, Alois C. Knoll, Jian-Wei Zhang

Publication date: 11 February 2003

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0020-0255(02)00167-6

zbMATH Keywords

interpretabilityrule extractionneuro-fuzzy systemgenetic algorithms (GAs)

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Fuzzy control/observation systems (93C42) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20)

Related Items (1)

Fuzzy spline interpolation with optimal property in parametric form

Cites Work

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• Fuzzy identification of systems and its applications to modeling and control
• A New Approach to Manipulator Control: The Cerebellar Model Articulation Controller (CMAC)
• Constructing fuzzy controllers with B-spline models?Principles and applications

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