POPFNN: A pseudo outer-product based fuzzy neural network

DOI10.1016/S0893-6080(96)00027-5zbMath0869.68082DBLPjournals/nn/ZhouQ96OpenAlexW2035545706WikidataQ52198269 ScholiaQ52198269MaRDI QIDQ676303

Juan-Miguel Gracia

Publication date: 16 March 1997

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0893-6080(96)00027-5

zbMATH Keywords

competitive learningfuzzy neural networkself-organizing algorithm

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (2)

RSPOP: Rough Set–Based Pseudo Outer-Product Fuzzy Rule Identification Algorithm ⋮ Structure and learning algorithms of a nonsingleton input fuzzy neural network based on the approximate analogical reasoning schema

Cites Work

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• Fuzzy sets and systems. Theory and applications
• Neural network implementation of fuzzy logic
• Implementation of conjunctive and disjunctive fuzzy logic rules with neural networks
• Construction of fuzzy inference rules by NDF and NDFL
• Self-organization and associative memory.
• Approximate case-based reasoning on neural networks
• Neural-network-based fuzzy logic control and decision system

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