神经网络在汽车自动换挡判别中的应用

Neural networks in application of discriminant auto gear-shift

车辆的人性化设计是轿车发展的重要方向。该文利用VB程序,通过实验人对汽车的油门开度、速度、加速度的分析,判断出挡位,从而获取换挡规律。基于人工神经网络控制理论,提出使用神经网络中的BP建立车辆自动变速三参数神经网络控制模型,并利用Matlab进行了测试分析和仿真模拟,仿真结果表明采用BP对车辆自动换挡判别的正确性和可行性。

This paper used VB procedure to analyzed the throttling, the speed and the accelerator to get the rule of shifting gears. It put forward the three parameters neural network control model of automatic transmission for car by artificial intelligence control theory. The software MATLAB was employed to carry testing analysis and simulation. The simulation result shows that this method is accurate and feasible.