Predicting the thermodynamic parameters of black powder by artificial neural network

Qing Zhong Cui; Qing Jie Jiao; Hui Ren; Rong Jie Yang

Predicting the thermodynamic parameters of black powder by artificial neural network

Qing Zhong Cui^*, Qing Jie Jiao, Hui Ren, Rong Jie Yang

^*Corresponding author for this work

Beijing Institute of Technology

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

1 Citation (Scopus)

Abstract

An artificial neural network (ANN) model about thermodynamic parameters evaluation of black powder was set up. After being trained by a train-set containing 10 compositions, the BP model was used to predict the thermodynamic parameters of black powder, and the predicted values were compared with that of experiments. The results showed that the prediction errors are less than 7%, and the ANN model was capable of making accurate predictions of combustion parameters of black powder.

Original language	English
Pages (from-to)	541-545
Number of pages	5
Journal	Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
Volume	27
Issue number	6
Publication status	Published - Jun 2007

Keywords

Artificial neural network
Black powder
Combustion performance
Prediction
Pyrotechnic composition

Cite this

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title = "Predicting the thermodynamic parameters of black powder by artificial neural network",

abstract = "An artificial neural network (ANN) model about thermodynamic parameters evaluation of black powder was set up. After being trained by a train-set containing 10 compositions, the BP model was used to predict the thermodynamic parameters of black powder, and the predicted values were compared with that of experiments. The results showed that the prediction errors are less than 7%, and the ANN model was capable of making accurate predictions of combustion parameters of black powder.",

keywords = "Artificial neural network, Black powder, Combustion performance, Prediction, Pyrotechnic composition",

author = "Cui, {Qing Zhong} and Jiao, {Qing Jie} and Hui Ren and Yang, {Rong Jie}",

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AU - Cui, Qing Zhong

AU - Jiao, Qing Jie

AU - Ren, Hui

AU - Yang, Rong Jie

PY - 2007/6

Y1 - 2007/6

N2 - An artificial neural network (ANN) model about thermodynamic parameters evaluation of black powder was set up. After being trained by a train-set containing 10 compositions, the BP model was used to predict the thermodynamic parameters of black powder, and the predicted values were compared with that of experiments. The results showed that the prediction errors are less than 7%, and the ANN model was capable of making accurate predictions of combustion parameters of black powder.

AB - An artificial neural network (ANN) model about thermodynamic parameters evaluation of black powder was set up. After being trained by a train-set containing 10 compositions, the BP model was used to predict the thermodynamic parameters of black powder, and the predicted values were compared with that of experiments. The results showed that the prediction errors are less than 7%, and the ANN model was capable of making accurate predictions of combustion parameters of black powder.

KW - Artificial neural network

KW - Black powder

KW - Combustion performance

KW - Prediction

KW - Pyrotechnic composition

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Predicting the thermodynamic parameters of black powder by artificial neural network

Abstract

Keywords

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