Optimizing blind source separation with guided genetic algorithms

Neurocomputing

Volumn 69, Issue 13-15, 2006, Pages 1442-1457

  Gorriz J M ^a   Puntonet, C G ^b   Rojas, F ^b   Martin, R ^c   Hornillo, S ^c   Lang, E W ^d  

^a UNIVERSITY OF GRANADA   (Spain)

^b UNIVERSITY OF GRANADA   (Spain)

^c UNIVERSIDAD DE SEVILLA   (Spain)

^d UNIVERSITY OF REGENSBURG   (Germany)

Author keywords

Genetic algorithm (GA); Guiding genetic algorithm (GGA); Higher order statistics (HOS); Independent component analysis (ICA); Mutual information

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; GENETIC ALGORITHMS; INDEPENDENT COMPONENT ANALYSIS; LEARNING SYSTEMS; OPTIMIZATION; PROBABILITY DENSITY FUNCTION;

GUIDING GENETIC ALGORITHM (GGA); HIGHER ORDER STATISTICS (HOS); MUTUAL INFORMATION;

BLIND SOURCE SEPARATION;

ACCURACY; ANALYTIC METHOD; ARTICLE; BIOMEDICINE; CONTROLLED STUDY; FINANCIAL MANAGEMENT; FORECASTING; GENETIC ALGORITHM; HISTOGRAM; INDEPENDENT COMPONENT ANALYSIS; INFORMATION PROCESSING; INTERMETHOD COMPARISON; LEARNING; MATHEMATICAL ANALYSIS; MATHEMATICAL COMPUTING; NONLINEAR SYSTEM; PRIORITY JOURNAL; PROBABILITY; SIGNAL PROCESSING; SIGNAL TRANSDUCTION; STATISTICAL ANALYSIS;

EID: 33745222819     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2005.12.030     Document Type: Article

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