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Prediction of Explosion Heat of Aluminiferous Explosive by BP Neural Network(PDF)

《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

Issue:
2003年02期
Page:
184-187
Research Field:
Publishing date:

Info

Title:
Prediction of Explosion Heat of Aluminiferous Explosive by BP Neural Network
Author(s):
TangWanying YangYuchuan ① DuanXiuyun
School of Chemical Engineering,NUST,Nanjing 210094)
Keywords:
artif ical neural network BP arithmet ic aluminiferous explosive ex plosion heat
PACS:
TQ564;TP183
DOI:
-
Abstract:
Using 13 kinds of aluminiferous ex plosives w ith know n ex plosion heat , BP neural network is trained and the relation of composit ion and explosion heat is built up. Subsequent ly, 6 kinds of ex plosives are predicted and 13 kinds are cert ificated. It proves this method has high precision and can be used to predict the ex plosion heat of unknown aluminiferous explosive w ith similar composit ion.

References:

1   惠君明, 陈天云. 炸药爆炸理论[ M] . 南京: 江苏科学技术出版社, 1995.
2   李学桥, 马莉. 神经网络工程应用[ M] . 重庆: 重庆大学出版社, 1996.
3   庄镇泉, 王煦法, 王东生. 神经网络与神经计算机[M] . 北京: 科学出版社, 1992.
4   曹欣茂. 世界爆破器材手册[M] . 北京: 兵器工业出版社, 1999.
5    Freeman J A, Skaqura D M. Neural Netw ork[M] . New York: Addison-Wesley, 1991.
6  陈冲, 沈静珠. 模糊神经网络建模方法的研究[ J] . 计算机与应用化学, 2000, 17( 1) : 59~ 62.

Memo

Memo:
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Last Update: 2013-03-17