Nonstationary time series prediction using local models based on competitive neural networks

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

Volumn 3029, Issue , 2004, Pages 1146-1155

  Barreto, Guilherme A ^a   Mota, João C M ^a   Souza, Luis G M ^b   Frota, Rewbenio A ^b  

^a FEDERAL UNIVERSITY OF CEARÁ   (Brazil)

^b Atlantico Institute   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DATA COMPRESSION; ERROR ANALYSIS; MATHEMATICAL MODELS; MATRIX ALGEBRA; PARAMETER ESTIMATION; REGRESSION ANALYSIS; TIME SERIES ANALYSIS; VECTORS; ARTIFICIAL INTELLIGENCE; EXPERT SYSTEMS; FORECASTING; NEURAL NETWORKS; TIME SERIES; UNSUPERVISED LEARNING;

AUTOREGRESSIVE (AR) MODEL; MOVING AVERAGE (MA) MODEL; REGRESSION MATRIX; COMPETITIVE ALGORITHMS; COMPETITIVE NEURAL NETWORK; CONVENTIONAL APPROACH; INFORMATION COMPRESSION; NON-STATIONARY TIME SERIES; PREDICTION VECTORS; REGRESSION MATRICES; UNSUPERVISED LEARNING METHOD;

NEURAL NETWORKS; LEAST SQUARES APPROXIMATIONS;

EID: 9444232332     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-24677-0_117     Document Type: Conference Paper

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