Heterogeneous fuzzy logic networks: Fundamentals and development studies

IEEE Transactions on Neural Networks

Volumn 15, Issue 6, 2004, Pages 1466-1481

  Pedrycz, Witold ^a,b  

^a UNIVERSITY OF ALBERTA   (Canada)

^b SYSTEMS RESEARCH INSTITUTE   (Poland)

Author keywords

Aggregative and referential fuzzy neurons; Fuzzy neurocomputing; Fuzzy neurons; Genetic algorithm; Interfaces of fuzzy models (decoding and encoding); Logic approximation; Network transparency and interpretability; Pruning transformations of logic neurons and networks

Indexed keywords

APPROXIMATION THEORY; FUZZY SETS; GENETIC ALGORITHMS; KNOWLEDGE BASED SYSTEMS; LEARNING SYSTEMS; MATHEMATICAL MODELS; OPTIMIZATION;

AGGREGATIVE-AND-REFERENTIAL FUZZY NEURONS; FUZZY NEUROCOMPUTING; FUZZY NEURONS; INTERFACES-OF-FUZZY MODELS; LOGIC APPROXIMATION; NETWORK TRANSPARENCY-AND-INTERPRETABILITY; PRUNING TRANSFORMATIONS-OF-LOGIC NEURONS-AND-NETWORKS;

NEURAL NETWORKS;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; AUTOMATED PATTERN RECOGNITION; COMPARATIVE STUDY; COMPUTER SIMULATION; DECISION SUPPORT SYSTEM; EVALUATION; FEEDBACK SYSTEM; FUZZY LOGIC; METHODOLOGY; STATISTICAL MODEL;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; DECISION SUPPORT TECHNIQUES; FEEDBACK; FUZZY LOGIC; LOGISTIC MODELS; NEURAL NETWORKS (COMPUTER); PATTERN RECOGNITION, AUTOMATED;

EID: 9244227617     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNN.2004.837785     Document Type: Article

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