基于神经网络的火箭发动机动态过程建模
DYNAMIC PROCESS MODELLING IN ROCKET ENGINE WITH NEURAL NETWORKS
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摘要: 简要介绍了神经网络的基本理论, 分析了神经网络与非线性建模问题。基于对液体火箭发动机动态过程的研究, 提出了用神经网络建模的一般思路和基本方法, 从而为发动机参数研究找到了新的建模途径。建模结果表明, 将神经网络应用于液体火箭发动机动态过程的研究是十分成功的。Abstract: According to principles of neural networks and BP algorithm,the relationship between the neural networks and nonlinear modelling is anlyzed.A general idea and a basic method for modelling with neural networks are put forward on the basis of the study of dynamic process in liquid rocket engine was formulated.Then a new modelling approach to researching the parameters of the engine was formulated.An example given in this paper shows that the application of the neural networks to the investigation of the dynamic process in the liquid rocket engine is a great success.
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