An optimizing selection model in preparation of powdery emulsion explosives

Baofu Duan, Xuguang Wang, and Jinquan Song1) Civil and Environmental Engineering School, University of Science and Technology Beijing, Beijing 100083, China2) Beijing General Research Institute of Mining & Metallurgy, Beijing 100044, China3) Shandong University of Science and Technology, Taian 271000, China

摘 要：<正> In order to get cheap and excellent PEE (Powdery Emulsion Explosives), the model 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 of the Neural Net (NN) model were finished by compiling procedures. The results indicate that the model is helpful to the preparation of PEE and worthy to extend and apply broadly.

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