Self-organizing multi-modeling: A different way to design intelligent predictors

Neurocomputing

Volumn 70, Issue 16-18, 2007, Pages 2836-2852

  Madani, Kurosh ^a   Thiaw, Lamine ^a,b  

^a UNIVERSITÉ PARIS EST CRÉTEIL   (France)

^b Renewable Energies Laboratory (Laboratoire d'Energies Renovelables LER)   (Senegal)

Author keywords

Artificial Neural Networks; Complex behavior modeling; Intelligent identification; Intelligent prediction; Multi modeling; Self organization

Indexed keywords

IDENTIFICATION (CONTROL SYSTEMS); MATHEMATICAL MODELS; NONLINEAR SYSTEMS; PREDICTIVE CONTROL SYSTEMS; TRANSFER FUNCTIONS;

COMPLEX BEHAVIOR MODELING; INTELLIGENT IDENTIFICATION; INTELLIGENT PREDICTION;

SELF ORGANIZING MAPS;

ACCURACY; ALGORITHM; ANALYTICAL ERROR; ARTICLE; ARTIFICIAL NEURAL NETWORK; CLUSTER ANALYSIS; CONTROLLED STUDY; EXPERIMENTAL DESIGN; FUZZY SYSTEM; LEARNING; MATHEMATICAL MODEL; NONLINEAR SYSTEM; PREDICTION; PRIORITY JOURNAL; STATISTICAL MODEL; VALIDATION PROCESS;

EID: 34548205379     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2006.06.016     Document Type: Article

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