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Based on wind speed sequences, three-layer neural network model of wind speed prediction is analyzed to obtain the selecting method of neural network input, output and hidden layers' node parameters, and to predict wind speed through rolling wind speed data. In accord with the nonlinear of wind speed sequences, a BP neural network model is established to forecast wind speed. The feasibility and validity...
Daily solar radiation prediction is a nonlinear and non-stationary process. It's hard to model with a single method. A Genetic Algorithm Optimization of Wavelet Neural Network (GAO-WNN) model was set in this paper. The nonlinear process of daily solar radiation was forecasted by neural network and the non-stationary process of daily solar radiation was decomposed into quasi-stationary at different...
The research of artificial neuron network has been maturated both in theory and practical application, so it is also employed into nonlinear time series forecasting. However, concerning with the problem of time series forecasting based on traditional neural network, such as black box, poor accuracy, and facing the shortage of post knowledge, the dynamic intelligent neural network is proposed in the...
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