A modified particle swarm optimization and radial basis function neural network hybrid algorithm model and its application

Proceedings of the 2009 WRI Global Congress on Intelligent Systems, GCIS 2009

Volumn 1, Issue , 2009, Pages 134-138

  Biao, Shi ^a   Li, Yu Xia ^a   Yan, Wang ^a   Li, Peng ^a   Meng, Xin ^a   Yu, Xin Hua ^b  

^a XI'AN UNIVERSITY OF TECHNOLOGY   (China)

^b QINGDAO UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

MPSO RBF algorithm generalization capacity; The radial basis function neural network

Indexed keywords

FORECAST ACCURACY; FORECAST MODEL; GENERALIZATION CAPACITY; HYBRID ALGORITHMS; IMPROVED FORECAST; LOAD FORECAST; MODIFIED PARTICLE SWARM OPTIMIZATION; MPSO-RBF ALGORITHM GENERALIZATION CAPACITY; POWER SYSTEMS; RADIAL BASIS FUNCTION NEURAL NETWORKS; RBF NEURAL NETWORK; SAMPLE DATA; SHORT-TERM FORECASTS; THE RADIAL BASIS FUNCTION NEURAL NETWORK;

ALGORITHMS; ATTITUDE CONTROL; CONVERGENCE OF NUMERICAL METHODS; ELECTRIC LOAD FORECASTING; INTELLIGENT SYSTEMS; NEURAL NETWORKS; PARTICLE SWARM OPTIMIZATION (PSO);

RADIAL BASIS FUNCTION NETWORKS;

EID: 70449344243     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/GCIS.2009.233     Document Type: Conference Paper

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