Prediction on ecological water demand based on support vector machine

Proceedings - International Conference on Computer Science and Software Engineering, CSSE 2008

Volumn 5, Issue , 2008, Pages 1032-1035

  Zhang, Lingling ^a   Wei, Yanfu ^b   Wang, Zongzhi ^c  

^a HOHAI UNIVERSITY   (China)

^b Water Affairs Bureau of Laizhou City   (Austria)

^c Hydraulic Research Institute   (China)

Author keywords

Ecological water demand prediction; Genetic algorithm; Statistics learning theory; Support vector machine

Indexed keywords

ECOLOGICAL WATER DEMAND; FORECAST METHOD; GENERALIZATION ABILITY; HIGH DIMENSIONS; HIGH PRECISION; KERNEL MATRICES; NUMBER OF SAMPLES; OPTIMAL METHODS; SMALL SAMPLES; STATISTICS LEARNING; SUPPLY AND DEMAND; SUPPORT VECTOR REGRESSION MACHINES; URBAN WATERS;

ECOLOGY; FORECASTING; GENETIC ALGORITHMS; GLOBAL OPTIMIZATION; LAGRANGE MULTIPLIERS; LEARNING ALGORITHMS; OPTIMIZATION; SOFTWARE ENGINEERING; SUPPORT VECTOR MACHINES; VECTORS;

WATER RESOURCES;

EID: 79951507945     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CSSE.2008.442     Document Type: Conference Paper

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