Online sequential extreme learning machine with kernels for nonstationary time series prediction

Neurocomputing

Volumn 145, Issue , 2014, Pages 90-97

  Wang, Xinying ^a   Han, Min ^a  

^a DALIAN UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Extreme learning machine; Nonstationary; Online; Support vector machine; Time series

Indexed keywords

FORECASTING; KNOWLEDGE ACQUISITION; LEARNING SYSTEMS; SUPPORT VECTOR MACHINES;

EXTREME LEARNING MACHINE; LIMITED MEMORY; NON-STATIONARY TIME SERIES; NONSTATIONARY; ONLINE; ONLINE SEQUENTIAL EXTREME LEARNING MACHINE; PERFORMANCE COMPARISON; SEQUENTIAL LEARNING ALGORITHM;

TIME SERIES;

ANALYTIC METHOD; ARTICLE; CONTROLLED STUDY; KERNEL METHOD; LEARNING ALGORITHM; MACHINE LEARNING; MATHEMATICAL ANALYSIS; MEAN ABSOLUTE PERCENTAGE ERROR; METHODOLOGY; MOLECULAR DYNAMICS; NORMALIZED ROOT MEAN SQUARED ERROR; ONLINE SEQUENTIAL EXTREME LEARNING MACHINE WITH KERNEL; ONLINE SUPPORT VECTOR REGRESSION; ONLINE SYSTEM; PREDICTION; PRIORITY JOURNAL; PROCESS OPTIMIZATION; ROOT MEAN SQUARED ERROR; SIMULATION; SUPPORT VECTOR MACHINE; SYMMETRIC MEAN ABSOLUTE PERCENTAGE ERROR;

EID: 84906938183     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2014.05.068     Document Type: Article

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