Applying neural networks and genetic algorithms to the separation of sources

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

Volumn 2527, Issue , 2002, Pages 420-429

  Rojas, Fernando ^a   Alvarez, M R ^a   Puntonet, C G ^a   Martin Clemente, Ruben ^b  

^a UNIVERSITY OF GRANADA   (Spain)

^b UNIVERSITY OF SEVILLE   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE PROCEDURE; BIOMEDICAL DATA; BLIND SEPARATION; COMPETITIVE LEARNING; DEGREE OF FLEXIBILITY; EVALUATION FUNCTION; LOCAL MINIMUMS; MAIN CHARACTERISTICS; NEURAL NETWORKS AND GENETIC ALGORITHMS; NONLINEAR MIXTURES; NONLINEAR SEPARATION; NONUNIFORM; PARALLEL SEARCH; RAPID CONVERGENCE; VECTORIAL SPACE; BLIND SEPARATION OF SOURCES;

BLIND SOURCE SEPARATION; GENETIC ALGORITHMS; MIXTURES; NEURAL NETWORKS; SIMULATED ANNEALING; ALGORITHMS; ARTIFICIAL INTELLIGENCE;

PROBABILITY DISTRIBUTIONS;

EID: 35048815550     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/3-540-36131-6_43     Document Type: Conference Paper

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