An optimizing selection model in preparation of powdery emulsion explosives  

作　　者：BaofuDuan XuguangWang JinquanSong 

机构地区：[1]CivilandEnvironmentalEngineeringSchool.UniversityofScienceandTechnologyBeijing.Beijing100083.China [2]BeijingGeneralResearchInstituteofMining＆Metallurgy.Beijing100044.China

出　　处：《Journal of University of Science and Technology Beijing》2004年第1期1-4,共4页北京科技大学学报（英文版）

基　　金：This work was financially supported by the National Natural Science Foundation of China (No.50174008).

摘　　要：In order to get cheap and excellent PEE (Powdery Emulsion Explosives), themodel of optimizing selection on preparation of PEE was established by the Neural Net Theory (NNT).On the basis of some data in the study of PEE, the training, prediction and optimizing selection ofthe Neural Net (NN) model were finished by compiling procedures. The results indicate that the modelis helpful to the preparation of PEE and worthy to extend and apply broadly.In order to get cheap and excellent PEE (Powdery Emulsion Explosives), themodel of optimizing selection on preparation of PEE was established by the Neural Net Theory (NNT).On the basis of some data in the study of PEE, the training, prediction and optimizing selection ofthe Neural Net (NN) model were finished by compiling procedures. The results indicate that the modelis helpful to the preparation of PEE and worthy to extend and apply broadly.

关 键 词：neural net powdery emulsion explosives PREPARATION optimizing selection 

分 类 号：TQ56[化学工程—炸药化工] TP183[自动化与计算机技术—控制理论与控制工程]