A Nonlinear Ensemble Prediction Model Based on Genetic Algorithm for Calculation Wind of the Wind Assessment
Following the thinking clue of the ensemble prediction in numerical weather prediction (NWP), a novel nonlinear artificial intelligence ensemble prediction (NAIEP) model for calculation wind speed of Mountain Darong in Guangxi has been developed based on the multiple neural networks with identical expected output created by using the genetic algorithm (GA) of evolutionary computation. The results show that the calculation accuracy by the nonlinear ensemble model of genetic - neural network for wind field is significantly higher than the traditional multiple linear regression model. Thus in practical application the long time sequence data of wind could be calculate according to the short time sequence data of the observation through the ANN nonlinear ensemble model, therefore this model is better practicability and popularize value for it provide the basis to research the exploitation wind resources.
Ntural network genetic algorithm ensemble Prediction wind assessment wind calculation
Kai-ping Lin Xiao-yan Huang Wei-liang Liang Bing-lian Chen
Guangxi Meteorological Observatory Nanning,530022,China Department of Computer and information engineering Guangxi Normal college Nanning 530023 ,China
国际会议
黄山
英文
471-475
2010-05-28（万方平台首次上网日期，不代表论文的发表时间）