Burning rate relativity investigation using artificial neural network

Pei Jin Liu; Xiang Lu; Guo Qiang He

Burning rate relativity investigation using artificial neural network

Pei Jin Liu, Xiang Lu, Guo Qiang He

School of Astronautics

Northwestern Polytechnical University Xian

Research output: Contribution to journal › Article › peer-review

5 Scopus citations

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.

Original language	English
Pages (from-to)	156-158
Number of pages	3
Journal	Tuijin Jishu/Journal of Propulsion Technology
Volume	25
Issue number	2
State	Published - Apr 2004

Keywords

Artificial neural network
Correlation property
Propellant burning rate
Scale effect
Solid propellant

Cite this

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title = "Burning rate relativity investigation using artificial neural network",

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",

author = "Liu, {Pei Jin} and Xiang Lu and He, {Guo Qiang}",

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T1 - Burning rate relativity investigation using artificial neural network

AU - Liu, Pei Jin

AU - Lu, Xiang

AU - He, Guo Qiang

PY - 2004/4

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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

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M3 - 文章

AN - SCOPUS:3142649403

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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

Abstract

Keywords

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