Research of long-term runoff forecast based on support vector machine method

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6320 LNAI, Issue PART 2, 2010, Pages 124-133

  Yong, Peng ^a   Zhi Chun, Xue ^a  

^a DALIAN UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

long term runoff forecasting; parameter identification; PSO; SVM

Indexed keywords

ARMA MODEL; BP NEURAL NETWORK MODEL; FITNESS FUNCTIONS; GENERALIZATION ABILITY; LEAVE-ONE-OUT METHOD; PARAMETER IDENTIFICATION; PARTICLE SWARM; PSO; RUNOFF FORECAST; RUNOFF FORECASTING; SEASONAL ARIMA MODELS; SUPPORT VECTOR MACHINE METHOD; SVM; SVM LEARNING METHODS; SVM MODEL; TESTING SAMPLES; YANGTZE RIVER;

ABILITY TESTING; FORECASTING; FUNCTION EVALUATION; GLOBAL OPTIMIZATION; NEURAL NETWORKS; PARAMETER ESTIMATION; RUNOFF; SUPPORT VECTOR MACHINES;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 78649911148     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-16527-6_17     Document Type: Conference Paper

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