Hybrid fuzzy set-based polynomial neural networks and their development with the aid of genetic optimization and information granulation

Applied Soft Computing Journal

Volumn 9, Issue 3, 2009, Pages 1068-1089

  Oh, Sung Kwun ^a   Pedrycz, Witold ^b,c   Roh, Seok Beom ^d  

^a Suwon University   (South Korea)

^b UNIVERSITY OF ALBERTA   (Canada)

^c SYSTEMS RESEARCH INSTITUTE   (Poland)

^d Wonkwang University   (South Korea)

Author keywords

Fuzzy set based polynomial neural networks (FSPNN); Fuzzy set based polynomial neuron (FSPN); Genetic algorithms (GAs); Group method of data handling (GMDH); Hybrid fuzzy set based polynomial neural networks (HFSPNN); Information granulation (IG); Multi layer perceptron; Polynomial neural networks (PNN); Polynomial neuron (PN)

Indexed keywords

FUZZY SET-BASED POLYNOMIAL NEURAL NETWORKS (FSPNN); FUZZY SET-BASED POLYNOMIAL NEURON (FSPN); GROUP METHOD OF DATA HANDLING (GMDH); HYBRID FUZZY SET-BASED POLYNOMIAL NEURAL NETWORKS (HFSPNN); INFORMATION GRANULATION (IG); MULTI-LAYER PERCEPTRON; POLYNOMIAL NEURAL NETWORKS (PNN); POLYNOMIAL NEURON (PN);

ARTIFICIAL INTELLIGENCE; CURVE FITTING; DATA HANDLING; EDUCATION; ELECTRIC NETWORK PARAMETERS; FEEDFORWARD NEURAL NETWORKS; FUZZY SETS; GASES; GENETIC ALGORITHMS; GRANULATION; HETEROGENEOUS NETWORKS; MACHINE DESIGN; MULTILAYER NEURAL NETWORKS; NEURONS; POLYNOMIAL APPROXIMATION; SELF ORGANIZING MAPS; STRUCTURAL DESIGN; STRUCTURAL OPTIMIZATION;

FUZZY NEURAL NETWORKS;

EID: 67349127659     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2009.02.007     Document Type: Article

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