基于神经网络的电子节气门开启角度的模拟研究

Simulation Research On Turn-on Angle of the Electronic Throttle Based on BP Neural Networks

本文将神经网络方法应用于电子节气门开启角度的模拟研究。实验研究结果表明,神经网络检测样本的平均误差为0.656°,说明神经网络模型能定量地描叙转速、扭矩、输出功率以及燃油流量与节气门开启角度之间的关系。

Using the neural network method, the turn-on angle of electronic throttle has been simulated. The experimental investigation results show that neural network model may be used to analyze the relationship between the rotary speed, torque, output power, fuel flow and the turn-on angle of the electronic throttle quantitatively for testing of the model was performed with successfully good average error levels of 0.656°.