| 人工神经网络对混合点火药燃速的预测 |
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| 引用本文： | 陈西武,秦志春,周彬,祝逢春,侯素娟,田桂蓉,徐振相.人工神经网络对混合点火药燃速的预测[J].火工品,2002(3):9-11. |
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| 作者姓名： | 陈西武 秦志春 周彬 祝逢春 侯素娟 田桂蓉 徐振相 |
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| 作者单位： | 1. 中国兵器工业第213研究所,陕西,西安,710061;南京理工大学化工学院,江苏,南京,210094
2. 南京理工大学化工学院,江苏,南京,210094 |
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| 摘 要： | 以某混合点火药各组分含量作为药剂性能描述，利用误差反传神经网络（BP网络）算法，通过对9个配方药剂的训练建立了燃速与组成之间的定量关系模型，并对另外9个配方混合点火药的燃速进行了预测。结果表明，模型很好地反映了配比与燃速之间的关系，预测值与实际测量值比较接近，相对误差小于12％。该方法为混合药剂的研究和开发提供了一条新的途径。
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| 关 键 词： | 人工神经网络 混合点火药 燃速 预测 |
| 文章编号： | 1003-1480(2002)03-0009-03 |
Prediction for the Burning Rate of Igniting Mixture by Artificial Neuron Network |
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| CHEN Xi-wu,QIN Zhi-chun,ZHOU Bin,ZHU Feng-chun,HOU Su-juan,TIAN Gui-rong,XU Zhen-xiang.Prediction for the Burning Rate of Igniting Mixture by Artificial Neuron Network[J].Initiators & Pyrotechnics,2002(3):9-11. |
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| Authors: | CHEN Xi-wu QIN Zhi-chun ZHOU Bin ZHU Feng-chun HOU Su-juan TIAN Gui-rong XU Zhen-xiang |
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| Affiliation: | CHEN Xi-wu1,2,QIN Zhi-chun2,ZHOU Bin2,ZHU Feng-chun2,HOU Su-juan2,TIAN Gui-rong2,XU Zhen-xiang2 |
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| Abstract: | A computational paradigm is presented for making rapid and accurate estimations of burning rates for igniting mixtures by back-propagation neuron networks. Quantitative relational model between burning rate and combination has been established by training for 9 mixtures. Prediction has also been conducted for the other 9 mixtures. The results show that the neuron network is capable of efficiently formulating the correlations necessary to make accurate predictions and the prediction error less than 12%. This method has been proven to be efficient for the development of igniting mixture. |
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| Keywords: | Ignition mixture Artificial neuron network Burning rate |
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