Ensembles of evolutionary product unit or RBF neural networks for the identification of sound for pass-by noise test in vehicles

Neurocomputing

Volumn 109, Issue , 2013, Pages 56-65

  Redel Macías, María Dolores ^a   Fernández Navarro, Francisco ^a   Antonio Gutiérrez, Pedro ^a   Cubero Atienza, Antonio José ^a   Hervás Martínez, César ^a  

^a UNIVERSITY OF CÓRDOBA   (Spain)

Author keywords

Ensembles; Evolutionary algorithms; Hybrid algorithm; Identification of sound; Product unit neural networks; Radial basis function neural networks; Regression

Indexed keywords

ENSEMBLES; HYBRID ALGORITHMS; PRODUCT UNIT NEURAL NETWORK; RADIAL BASIS FUNCTION NEURAL NETWORKS; REGRESSION;

AUTOMOBILE MANUFACTURE; AUTOMOTIVE INDUSTRY; EVOLUTIONARY ALGORITHMS; NEURAL NETWORKS; VEHICLES;

ACOUSTIC NOISE;

ACCURACY; ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; EVOLUTIONARY PROGRAMMING; HYBRID EVOLUTIONARY PROGRAMMING; HYBRID EVOLUTIONARY PROGRAMMING WITH CLUSTERING; INDUSTRIAL NOISE; INTERMETHOD COMPARISON; MOTOR VEHICLE; PRIORITY JOURNAL; PROCESS DEVELOPMENT; PRODUCT UNIT NEURAL NETWORK; RADIAL BASIS FUNCTION NEURAL NETWORK; SOUND DETECTION; STATISTICAL MODEL; SYSTEMATIC ERROR; VALIDATION PROCESS;

EID: 84875964402     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2012.03.022     Document Type: Article

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