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Qing Guihe; Ge Anlin; Wei Da; Dai Yisong(Jilin University of Technology, Changchun, 130025)  
Optimal shifting in an electronically controlled automatic transmission turns out to be a nonlinear function between the vehicle state and gear position, and is usually described through a data table. It is proper to train a neural network based on the data, and to store the rules of shifting in the network. When used online the network can calculate the optimal gear position. An approach based on this concept is introduced and a neural network training course is illustrated.
【CateGory Index】: TP183
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