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众所周知,发动机对汽车来说具有重要的作用,因此,对汽车发动机的故障进行诊断越来越受到人们的重视,由于可以利用人工神经网络对输入以及输出参数进行非线性的映射,所以,采用改进的BP网络模型能够对各个参数实行动态的识别与仿真。利用人工神经网络原理,针对BP网络模型进行相关的改进,最后对汽车发动机的相关参数进行识别与仿真,实现汽车发动机的故障检测工作。
As we all know, the engine plays an important role in the car. Therefore, it is more and more important to diagnose the fault of the car engine. Because the neural network can be used to nonlinearly map the input and output parameters, The BP network model can dynamically identify and simulate various parameters. Based on the principle of artificial neural network, the BP neural network model is improved. Finally, the relevant parameters of the automobile engine are identified and simulated to realize the fault detection of the automobile engine.