Water resource requirement prediction based on the wavelet-bootstrap-SVM hybrid model

Journal of Information and Computational Science

Volumn 8, Issue 13, 2011, Pages 2563-2568

  Li, Lifeng ^a  

^a NORTH CHINA UNIVERSITY OF WATER RESOURCES AND ELECTRIC POWER   (China)

Author keywords

Intelligent learning algorithm; Prediction algorithm; Water resource; WBSVM

Indexed keywords

HYBRID MODEL; INPUT NODE; INTELLIGENT LEARNING; MULTI-STEP PREDICTION; PREDICTION ALGORITHM; PREDICTION PERFORMANCE; RESOURCE REQUIREMENTS; SVM MODEL; TESTING RESULTS; WBSVM;

FORECASTING; LEARNING ALGORITHMS; SUPPORT VECTOR MACHINES;

WATER RESOURCES;

EID: 83255188967     PISSN: 15487741     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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