Prediction of detonation pressure of aluminized explosive by Artificial Neural Network

摘要：

　　In this study,a three-layer artificial neural network(ANN) model was constructed to predict the detonation pressure of aluminized explosive.Elemental composition and loading density were employed as input descriptors and detonation pressure was used as output.The dataset of 41 aluminized explosives was randomly divided into a training set (30) and a prediction set (11).After optimized by adjusting various parameters,the optimal condition of the neural network was obtained.Simulated with the final optimum neural network 6-9-1,calculated detonation pressures show good agreement with experimental results.It is shown here that ANN is able to produce accurate predictions of the detonation pressure of aluminized explosive.

关键词： aluminized explosive detonation pressure Artificial Neural Network

作者: Liu Yonggang Tian Xin Jiang Yueqiang Li Gongbing Li Yizhou

作者单位: Institute of Chemical Materials, CAEP, China School o f Chemical, Sichuan University, China

会议类型: 国际会议

会议名称: 2012 The 2nd International Conference on Biotechnology,Chemial and Materials Engineering(第二届生物、化工和材料工程国际会议(CBCME2012))

会议地点: 厦门

会议语种:英文

页码: 460-463

在线出版日期: 2012-12-28（万方平台首次上网日期，不代表论文的发表时间）