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

^*此作品的通讯作者

Beijing Institute of Technology

科研成果: 期刊稿件 › 文章 › 同行评审

1 引用（Scopus）

摘要

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.

源语言	英语
页（从-至）	541-545
页数	5
期刊	Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
卷	27
期	6
出版状态	已出版 - 6月 2007

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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

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