Optimization design technology of electric vehicle drive train is briefly introduced. A optimization method for the drive train is developed.
简述了电动汽车的动力传动系统的优化设计技术，自行设计了一种优化传动系速比的方法。
A method of drive train parameter optimization design based on design of experiment (DOE) is developed.
提出了基于DOE(试验设计)的汽车动力传动系统参数优化设计的方法。
The samples produced by uniform design are used to train NN whose architecture is determined in global optimization by pattern-genetic algorithm(PGA).
该方法基于均匀设计获得的样本进行神经网络学习，用模式–遗传–神经网络进行岩体流变参数的最优辩识。
The samples produced by uniform design are used to train NN whose architecture is determined in global optimization by pattern-genetic algorithm(PGA).
该方法基于均匀设计获得的样本进行神经网络学习，用模式–遗传–神经网络进行岩体流变参数的最优辩识。
应用推荐