Urban water consumption forecast based on PQPSO-LSSVM

Proceedings - International Conference on Natural Computation

Volumn , Issue , 2013, Pages 834-837

  Zhu, Xingtong ^a   Chen, Jianping ^b  

^a GUANGDONG UNIVERSITY OF PETROCHEMICAL TECHNOLOGY   (China)

^b ZHAOQING UNIVERSITY   (China)

Author keywords

forecast; least squares support vector machine; phase encoding; quantum particle swarm optimization; urban water consumption

Indexed keywords

ALGORITHMS; PARTICLE SWARM OPTIMIZATION (PSO); SUPPORT VECTOR MACHINES; WATER SUPPLY SYSTEMS;

COMPUTATIONAL SPEED; INERTIA WEIGHT FACTORS; LEAST SQUARES SUPPORT VECTOR MACHINES; PHASE ENCODING; PREDICTION ACCURACY; QUANTUM PARTICLE SWARM OPTIMIZATION; QUANTUM PARTICLE SWARM OPTIMIZATION ALGORITHM; URBAN WATERS;

FORECASTING;

EID: 84901761753     PISSN: 21579555     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICNC.2013.6818091     Document Type: Conference Paper

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