Long-term time series prediction using OP-ELM

Neural Networks

Volumn 51, Issue , 2014, Pages 50-56

  Grigorievskiy, Alexander ^a   Miche, Yoan ^a   Ventelä, Anne Mari ^b   Séverin, Eric ^c   Lendasse, Amaury ^a,d,e  

^a AALTO UNIVERSITY   (Finland)

^b Pyhajarvi Institute   (Finland)

^c UNIV LILLE   (France)

^d BASQUE FOUNDATION FOR SCIENCE   (Spain)

^e UNIVERSITY OF THE BASQUE COUNTRY UPV EHU   (Spain)

Author keywords

Direct strategy; DirRec strategy; ELM; LS SVM; OP ELM; Ordinary least squares; Recursive strategy; Time series prediction

Indexed keywords

FORECASTING; MEAN SQUARE ERROR; NONLINEAR SYSTEMS; SUPPORT VECTOR MACHINES; TIME SERIES;

DIRECT STRATEGY; DIRREC STRATEGY; LS-SVM; OP-ELM; ORDINARY LEAST SQUARES; RECURSIVE STRATEGY; TIME SERIES PREDICTION;

LEARNING SYSTEMS;

SEA WATER;

ACCURACY; ALGORITHM; ANALYTICAL ERROR; ARTICLE; MACHINE LEARNING; MATHEMATICAL COMPUTING; NONLINEAR SYSTEM; OPTIMALLY PRUNED EXTREME LEARNING MACHINE; PREDICTION; PRIORITY JOURNAL; REGRESSION ANALYSIS; SUPPORT VECTOR MACHINE; TIME SERIES ANALYSIS; WATER TEMPERATURE;

DIRECT STRATEGY; DIRREC STRATEGY; ELM; LS-SVM; OP-ELM; ORDINARY LEAST SQUARES; RECURSIVE STRATEGY; TIME SERIES PREDICTION;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; INFRARED RAYS; LASERS; LEAST-SQUARES ANALYSIS; LINEAR MODELS; NEURAL NETWORKS (COMPUTER); NONLINEAR DYNAMICS; OCEANS AND SEAS; SEAWATER; SOLAR SYSTEM; SUPPORT VECTOR MACHINES; TEMPERATURE; TIME;

EID: 84890844620     PISSN: 08936080     EISSN: 18792782     Source Type: Journal    
DOI: 10.1016/j.neunet.2013.12.002     Document Type: Article

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