DYNAMIC PROCESS MODELLING IN ROCKET ENGINE WITH NEURAL NETWORKS

Cui Dingjun; Yang Erfu; Zhang Zhengpeng; Liu Guoqiu

Volume 10 Issue 3

Jul. 1995

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Article Navigation > Journal of Aerospace Power > 1995 > 10(3): 249-252,310

Cui Dingjun, Yang Erfu, Zhang Zhengpeng, Liu Guoqiu. DYNAMIC PROCESS MODELLING IN ROCKET ENGINE WITH NEURAL NETWORKS[J]. Journal of Aerospace Power, 1995, 10(3): 249-252,310.

Citation:

Cui Dingjun, Yang Erfu, Zhang Zhengpeng, Liu Guoqiu. DYNAMIC PROCESS MODELLING IN ROCKET ENGINE WITH NEURAL NETWORKS[J]. Journal of Aerospace Power, 1995, 10(3): 249-252,310.

Cui Dingjun, Yang Erfu, Zhang Zhengpeng, Liu Guoqiu. DYNAMIC PROCESS MODELLING IN ROCKET ENGINE WITH NEURAL NETWORKS[J]. Journal of Aerospace Power, 1995, 10(3): 249-252,310.

Citation:

Cui Dingjun, Yang Erfu, Zhang Zhengpeng, Liu Guoqiu. DYNAMIC PROCESS MODELLING IN ROCKET ENGINE WITH NEURAL NETWORKS[J]. Journal of Aerospace Power, 1995, 10(3): 249-252,310.

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DYNAMIC PROCESS MODELLING IN ROCKET ENGINE WITH NEURAL NETWORKS

College of Space Technology,Beijing University of Aeronautics and Astronautics,Beijing 100083

Received Date: 1994-10-01
Rev Recd Date: 1995-03-01
Publish Date: 1995-07-28

Abstract

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.