摘要
对应用BP神经网络求取汽车ESA基本点火提前角的方法进行了仿真和评价。在分析考虑基本点火提前角影响因素的基础上,建立起基本点火提前角的BP神经网络模型,并将仿真得到的结果与插值法进行比较。从比较的结果可知,BP神经网络的控制效果要优于传统的线性插值法。
A BP neural network model for basic ignition advance angle is set up using MATLAB. Taking engine speeds and loads as inputs, the model is trained with experimental data and the basic ignition advance angles are obtained as outputs. The results show that compared with traditional table looking up and interpolation method, using BP neural network can achieve a better control effect.
出处
《汽车工程》
EI
CSCD
北大核心
2006年第7期634-635,642,共3页
Automotive Engineering
关键词
BP神经网络
基本点火提前角
BP neural network, Basic ignition advance angle
