POP-Yager: A novel self-organizing fuzzy neural network based on the Yager inference

Expert Systems with Applications

Volumn 29, Issue 1, 2005, Pages 229-242

  Quek, C ^a   Singh, A ^a  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

Lazy pseudo outer product (LazyPop) learning; Modified learning vector quantization (MLVQ) algorithm; Pattern classification; Pseudo outer product (POP) learning; Traffic flow prediction and analysis; Yager inference rule; Yager rule network

Indexed keywords

ALGORITHMS; CORRELATION METHODS; FUZZY SETS; HEURISTIC METHODS; LINGUISTICS; MEMBERSHIP FUNCTIONS; PATTERN RECOGNITION; VECTOR QUANTIZATION;

LAZY PSEUDO-OUTER PRODUCT (LAZYPOP) LEARNING; MODIFIED LEARNING VECTOR QUANTIZATION (MLVQ) ALGORITHM; PSEUDO OUTER-PRODUCT (POP) LEARNING; R2 CORRELATION; TRAFFIC FLOW PREDICTION AND ANALYSIS; TWO-PHASE FUZZY SET AND RULE CONSTRUCTION; YAGER INFERENCE RULE; YAGER RULE NETWORK;

MULTILAYER NEURAL NETWORKS;

EID: 16244372094     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2005.03.001     Document Type: Article

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