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基于神经网络原理，提出了汽车发动机效率因数模型的一种辨识方法．假设该因数依赖于发动机轴的角速度和收集器内的压力．所得数据被分成两组，一组用于模型辨识，另一组用于决定该模型的预测能力以确定模型的有效性．通过对用常规方法和用神经网络辨识得到的两种模型进行比较，可以得出，基于神经网络的辨识方法有效而且结果较好．
Based on the principle of neural network, a method to identify the efficiency factor model of automobile engine is proposed. It is assumed that this factor depends on the angular velocity of the engine shaft and the pressure in the collector. The resulting data is divided into two groups, one for model identification and the other for determining the predictive power of the model to determine the validity of the model. By comparing the two models, which are identified by the conventional method and the neural network, it can be concluded that the identification method based on neural network is effective and the result is good.