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Waveform signals of earthquake and explosion are nonlinear and non-stationary. A BP (Back-Propagation) neural network model is established to simulate the waveform signal of the earthquake and explosion based upon the real wave data on the Matlab 7.0 experiment platform. It is shown that the differences between the waveform signal simulated by BP neural network and the real waveform signal are quite...
With the moving dune in sandy land of Northwest Liaoning province as the research object, its water variation in soil was simulated and studied based on a BP Neural Network model. With principal meteorologic factors that affect soil water, such as precipitation and evaporation, as the input variables and the water content in soil as the output variable, a soil-water prediction model based on BP NN...
Freeway short-term traffic flow prediction can lay a solid foundation for analyzing the road traffic operation status and making real-time traffic surveillance strategies. Firstly, because of the complex modeling process and off-line prediction, differential method together with zero equalization in the data pretreatment and recursive least square method with forgetting factors in the parameter identification...
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