An improvement of neuro-fuzzy learning algorithm for tuning fuzzy rules

DOI10.1016/S0165-0114(98)00440-0zbMath0985.68050OpenAlexW1999272444MaRDI QIDQ5946487

Masaharu Mizumoto, Yan Shi

Publication date: 21 May 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)00440-0

zbMATH Keywords

fuzzy clustering methodfuzzy rule generationneuro-fuzzy learning algorithmusing fuzzy c-means clustering algorithm

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (4)

THE KNOWLEDGE-BASED FUZZY RULES EMULATED NETWORK AND ITS APPLICATIONS ON DIRECT ADAPTIVE ON NONLINEAR CONTROL SYSTEMS ⋮ Extracting fuzzy if-then rules by using the information matrix technique ⋮ Minimized sodium nitroprusside for mean arterial pressure regulation based on fuzzy rules emulated networks ⋮ An improvement of neuro-fuzzy learning algorithm for tuning fuzzy rules

Cites Work

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• Efficient Implementation of the Fuzzy c-Means Clustering Algorithms
• An improvement of neuro-fuzzy learning algorithm for tuning fuzzy rules

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