A robust and flexible model of hierarchical self-organizing maps for non-stationary environments

Neurocomputing

Volumn 70, Issue 16-18, 2007, Pages 2744-2757

  Salas, R ^a,b   Moreno, S ^b   Allende, H ^b   Moraga, C ^c,d  

^a UNIVERSIDAD DE VALPARAÍSO   (Chile)

^b DEPARTAMENTO DE FÍSICA   (Chile)

^c EUROPEAN CENTRE FOR SOFT COMPUTING   (Spain)

^d TU DORTMUND UNIVERSITY   (Germany)

Author keywords

Hierarchical self organizing maps; Robust and flexible architectures; Time dependent non stationary environments; Topological drift

Indexed keywords

ALGORITHMS; MATHEMATICAL MODELS; ROBUSTNESS (CONTROL SYSTEMS); TOPOLOGY; TREES (MATHEMATICS);

TIME-DEPENDENT NON-STATIONARY ENVIROMENTS; TOPOLOGICAL DRIFT;

SELF ORGANIZING MAPS;

ADAPTATION; ALGORITHM; ANALYTICAL ERROR; ARTICLE; ARTIFICIAL NEURAL NETWORK; CLUSTER ANALYSIS; CONTROLLED STUDY; EL NINO; ENVIRONMENTAL CHANGE; LEARNING; MATHEMATICAL COMPUTING; NORMAL DISTRIBUTION; PLASTICITY; PRIORITY JOURNAL; QUALITATIVE ANALYSIS; QUANTITATIVE ANALYSIS; ROBUST AND FLEXIBLE HIERARCHICAL SELF -ORGANIZING MAP; SCORING SYSTEM; SIGNAL NOISE RATIO; SIMULATION; TIME;

EID: 34548152792     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2006.04.011     Document Type: Article

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