[1]杨惠,杨建钢,方学谦.支持向量机法预测单质炸药爆速的研究[J].爆破器材,2015,44(02):28-31、35.[doi:10.3969/j.issn.1001-8352.2015.02.007]
　YANG Hui,YANG Jiangang,FANG Xueqian.Prediction the Detonating Velocity of Elemental Explosives by Support Vector Machine[J].EXPLOSIVE MATERIALS,2015,44(02):28-31、35.[doi:10.3969/j.issn.1001-8352.2015.02.007]
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支持向量机法预测单质炸药爆速的研究()
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《爆破器材》[ISSN:1001-8352/CN:32-1163/TJ]

卷:
44
期数:
2015年02
页码:
28-31、35
栏目:
基础理论
出版日期:
2015-04-20

文章信息/Info

Title:
Prediction the Detonating Velocity of Elemental Explosives by Support Vector Machine
文章编号:
4838
作者:
杨惠; 杨建钢; 方学谦
西安近代化学研究所（陕西西安,710065）
Author(s):
YANG Hui;  YANG Jiangang;  FANG Xueqian
Xi’an Modern Chemistry Research Institute (Shaanxi Xi’an, 710065)
关键词:
炸药; 支持向量机; 爆速; 预测
Keywords:
explosive;  support vector machine;  detonation velocity;  predication
分类号:
TD235.2+1
DOI:
10.3969/j.issn.1001-8352.2015.02.007
文献标志码:
A
摘要:
为了更好地预估新型含能材料的爆轰参数，应用支持向量机方法建立了单质炸药爆速的预测模型。利用炸药分子的相对分子质量（M）、装药密度（ρ）、氧平衡和碳、氢、氧、氮的质量分数（wC、wH、wO、wN）7种参数作为输入，构建了预测模型。模型预测结果表明，爆速预测值与实验值有较好的一致性，最大相对误差为4.79%，最小相对误差为0.04%，模型的预测精度较好，具有一定的外推性。该方法也可为炸药其他爆轰参数的预测提供指导，具有一定的实用价值。
Abstract:
Aiming at the better explosive performance prediction for new energetic materials, the support vector machine (SVM) method was applied to establish a predictive model for the detonation velocity of elemental explosive. The relative molecular mass of explosives (M),loading density (ρ),and oxygen balance the percentage composition of carbon, hydrogen, oxygen, nitrogen (wC、wH、wO、wN), were selected as inputs of the support vector machine models. The results of the model indicate that, the prediction results are in good agreement with the experimental values. The most relative error is 4.79% and the least is 0.04%. The prediction accuracy of the model is good, enabling a certain extrapolation. This method can also provide guidance to predict other detonation parameters of explosives, and has practical applications.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期：2014-06-29
基金项目：2013年度火炸药燃烧国防科技重点实验室基金项目（9140C350406130C35126）
作者简介：杨惠（1986~），女，硕士，从事火炸药性能测试与评估。E-mail: goodluck7788@qq.com
更新日期/Last Update: 2015-04-15