Method of Artificial Neural Network for Predicting the Explosives- Critical Height of Drop

摘要：

The critical height of drop of the composite explosive was predicted by the Artificial Neural Network. The consequence suggested that the predicting values were identical with the experimental ones; the average error was 6.4 percent. The model reflected the relation between the critical height of drop of explosive and its compositions well. It got a high precision about the predicting result.

关键词： safety composite explosive artificial neural network critical height of drop

作者: HE Liming KUANG Liqun MA Zhongliang LIU Youping XIAO Zhongliang

作者单位: College of Electronic and Computer Science & Technology College of Chemical Engineering and Environment,North University of China, Taiyuan ,030051

会议类型: 国际会议

会议名称: 第七届国际测试技术研讨会

会议地点: 北京

会议语种:英文

在线出版日期: 2007-08-05（万方平台首次上网日期，不代表论文的发表时间）