Parallel multi-objective memetic RBFNNs design and feature selection for function approximation problems

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4507 LNCS, Issue , 2007, Pages 341-350

  Guillén, Alberto ^a   Pomares, Héctor ^b   González, Jesús ^b   Rojas, Ignacio ^b   Herrera, L J ^b   Prieto, A ^b  

^a UNIVERSITY OF JAÉN   (Spain)

^b UNIVERSITY OF GRANADA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; CLASSIFICATION (OF INFORMATION); FEATURE EXTRACTION; GENETIC ALGORITHMS; PROBLEM SOLVING; REGRESSION ANALYSIS;

MUTATION OPERATORS; MUTUAL INFORMATION THEORY (MI); NON-SORTING DOMINATED GENETIC ALGORITHM II (NSGA-II); PARALLELIZATION;

RADIAL BASIS FUNCTION NETWORKS;

EID: 38049170887     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-73007-1_42     Document Type: Conference Paper

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