Three new fuzzy neural networks learning algorithms based on clustering, training error and genetic algorithm

Applied Intelligence

Volumn 37, Issue 2, 2012, Pages 280-289

  Malek, Hamed ^a   Ebadzadeh, Mohammad Mehdi ^a   Rahmati, Mohammad ^a  

^a NONE

Author keywords

Clustering; Fuzzy neural network; Genetic algorithm; Learning algorithm

Indexed keywords

CLUSTERING; ERROR ALGORITHMS; INITIAL STRUCTURES; INPUT-OUTPUT SPACES; K-NN ALGORITHM; MEAN SHIFT; NEURO-FUZZY APPROACH; NEURO-FUZZY NETWORK; SECOND PHASE; TAKAGI-SUGENO-KANG FUZZY SYSTEM; TRAINING DATA; TRAINING ERRORS;

FUZZY NEURAL NETWORKS; LEARNING ALGORITHMS; PHASE SPACE METHODS; STRUCTURE (COMPOSITION);

GENETIC ALGORITHMS;

EID: 84865130616     PISSN: 0924669X     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10489-011-0327-7     Document Type: Article

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