Burning rate relativity investigation using artificial neural network

Pei Jin Liu; Xiang Lu; Guo Qiang He

Burning rate relativity investigation using artificial neural network

航天学院

Northwestern Polytechnical University Xian

科研成果: 期刊稿件 › 文章 › 同行评审

5 引用（Scopus）

摘要

Artificial Neural Network (ANN) theory using BP arithmetic was used to investigate the burning rate relativity of solid propellant. The result of ID model proves the feasibility and stability of this method. A two-dimension model was established. Experimental data was adopted to verify the model. The calculating results indicate the precision of predicted burning rate is higher than the 1D model. This method can be used to calculate the burning rate relativity of solid propellant.

源语言	英语
页（从-至）	156-158
页数	3
期刊	Tuijin Jishu/Journal of Propulsion Technology
卷	25
期	2
出版状态	已出版 - 4月 2004

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引用此

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abstract = "Artificial Neural Network (ANN) theory using BP arithmetic was used to investigate the burning rate relativity of solid propellant. The result of ID model proves the feasibility and stability of this method. A two-dimension model was established. Experimental data was adopted to verify the model. The calculating results indicate the precision of predicted burning rate is higher than the 1D model. This method can be used to calculate the burning rate relativity of solid propellant.",

keywords = "Artificial neural network, Correlation property, Propellant burning rate, Scale effect, Solid propellant",

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T1 - Burning rate relativity investigation using artificial neural network

AU - Liu, Pei Jin

AU - Lu, Xiang

AU - He, Guo Qiang

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N2 - Artificial Neural Network (ANN) theory using BP arithmetic was used to investigate the burning rate relativity of solid propellant. The result of ID model proves the feasibility and stability of this method. A two-dimension model was established. Experimental data was adopted to verify the model. The calculating results indicate the precision of predicted burning rate is higher than the 1D model. This method can be used to calculate the burning rate relativity of solid propellant.

AB - Artificial Neural Network (ANN) theory using BP arithmetic was used to investigate the burning rate relativity of solid propellant. The result of ID model proves the feasibility and stability of this method. A two-dimension model was established. Experimental data was adopted to verify the model. The calculating results indicate the precision of predicted burning rate is higher than the 1D model. This method can be used to calculate the burning rate relativity of solid propellant.

KW - Artificial neural network

KW - Correlation property

KW - Propellant burning rate

KW - Scale effect

KW - Solid propellant

UR - https://www.scopus.com/pages/publications/3142649403

M3 - 文章

AN - SCOPUS:3142649403

SN - 1001-4055

VL - 25

SP - 156

EP - 158

JO - Tuijin Jishu/Journal of Propulsion Technology

JF - Tuijin Jishu/Journal of Propulsion Technology

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ER -

Burning rate relativity investigation using artificial neural network

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