The shift system of automated mechanical transmission based on neural network control

Automated mechanical transmission technology is very suitable for the development of China´s automobile industry realities. The paper discusses optimizing shift regularity of AMT and training simulation of data is completed by neural network. It indicated that distinguish measure of RBF neural network can solve the problem of shift recognition, and offer the shift control strategy of neural network. The research of the paper provides theory basis for improving design and practical application.