Baofu Duan, Xuguang Wang, and Jinquan Song, An optimizing selection model in preparation of powdery emulsion explosives, J. Univ. Sci. Technol. Beijing, 11(2004), No. 1, pp. 1-4.
Cite this article as:
Baofu Duan, Xuguang Wang, and Jinquan Song, An optimizing selection model in preparation of powdery emulsion explosives, J. Univ. Sci. Technol. Beijing, 11(2004), No. 1, pp. 1-4.
Baofu Duan, Xuguang Wang, and Jinquan Song, An optimizing selection model in preparation of powdery emulsion explosives, J. Univ. Sci. Technol. Beijing, 11(2004), No. 1, pp. 1-4.
Citation:
Baofu Duan, Xuguang Wang, and Jinquan Song, An optimizing selection model in preparation of powdery emulsion explosives, J. Univ. Sci. Technol. Beijing, 11(2004), No. 1, pp. 1-4.
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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