By using the collection data in training the neural network, this paper establishes the proper engine idle speed neural network model.
通过训练神经网络学习样本数据,建立了正确的发动机怠速神经网络模型。
This paper presents a nonlinear autoregressive exogenous (NARX) model to approximate dynamics of crankshaft speed with the mass of the idle feeding fuel and the spark advance.
本文采用一类非线性自回归模型(NARX),描述怠速过程中怠速供油量、点火提前角与曲轴转速之间的关系。
The proceedings of idle speed are so complex that it is very difficult to design a good controller based on the mathematical model of gasoline engine idling condition.
由于发动机的怠速运转是非常复杂的一个过程,所以要在发动机怠速的数学模型的基础上来设计控制器是很困难的。
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