General regression neural network forecasting model based on PSO algorithm in water demand

2010 3rd International Symposium on Knowledge Acquisition and Modeling, KAM 2010

Volumn , Issue , 2010, Pages 51-54

  Zhou, Juan ^a  

^a North China University of Water Conversancy and Hydroelectric Power   (China)

Author keywords

Chaos variation operator; General regression neural network; Linear inertia weight; The improved particle swarm optimization; Water demand forecasting model

Indexed keywords

GENERAL REGRESSION NEURAL NETWORK; IMPROVED PARTICLE SWARM OPTIMIZATION; INERTIA WEIGHT; VARIATION OPERATOR; WATER DEMAND FORECASTING MODEL;

CHAOS THEORY; FORECASTING; GENETIC ALGORITHMS; KNOWLEDGE ACQUISITION; MATHEMATICAL MODELS; MATHEMATICAL OPERATORS; NEURAL NETWORKS; REACTIVE POWER; REGRESSION ANALYSIS;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 78650652873     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/KAM.2010.5646238     Document Type: Conference Paper

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