Streamflow forecasting by SVM with quantum behaved particle swarm optimization

Neurocomputing

Volumn 101, Issue , 2013, Pages 18-23

  Ch, Sudheer ^a   Anand, Nitin ^a   Panigrahi, B K ^a   Mathur, Shashi ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY DELHI   (India)

Author keywords

Forecasting; QPSO; Streamflow; SVM; Time series

Indexed keywords

ANDHRA PRADESH; CORRELATION COEFFICIENT; FORECASTING MODELS; HIGH DEGREE OF ACCURACY; NON-LINEAR REGRESSION; NONLINEAR DATA; NORMALIZED MEAN SQUARE ERROR; OPTIMAL VALUES; QPSO; QUANTUM-BEHAVED PARTICLE SWARM OPTIMIZATION; STREAMFLOW FORECASTING; SUPPORT VECTOR; SVM; SVM MODEL;

FORECASTING; IMAGE RETRIEVAL; PARTICLE SWARM OPTIMIZATION (PSO); STREAM FLOW; TIME SERIES; WATER RESOURCES;

SUPPORT VECTOR MACHINES;

ACCURACY; ALGORITHM; ARTICLE; CALCULATION; CASE STUDY; CORRELATION COEFFICIENT; FORECASTING; INTERMETHOD COMPARISON; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; MONTE CARLO METHOD; PRIORITY JOURNAL; PROCESS DEVELOPMENT; PROCESS OPTIMIZATION; QUANTUM THEORY; SIMULATION; SUPPORT VECTOR MACHINE;

EID: 84868623982     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2012.07.017     Document Type: Article

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