| 用神经网络建立台阶爆破块度的预测 |
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| 引用本文： | 王祥厚,李程远. 用神经网络建立台阶爆破块度的预测[J]. 贵州工业大学学报(自然科学版), 2001, 31(5): 8-12 |
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| 作者姓名： | 王祥厚 李程远 |
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| 作者单位： | 1. 贵州工业大学
2. 铁五局 |
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| 摘 要： | 应用神经网络建立爆破系统的输入和输出非线性图形系统是很有效的。当建立神经网络系统时 ,输入端应当数量少一些 ,因此 ,本文采用爆破性分级指数和炸药单耗作为神经网络的输入端 ;岩石块度的分形维数作为神经网络的输出端
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| 关 键 词： | 爆破 岩石的破碎度 分形 神经网络 |
| 文章编号： | 1009-0193(2001)05-0008-05 |
The Neural Network of Forecast of Breaking Size of Rock forthe Opencast Terrace Blasting |
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| WANG Xiang hou ,LI Cheng yuan. The Neural Network of Forecast of Breaking Size of Rock forthe Opencast Terrace Blasting[J]. Journal of Guizhou University of Technology(Natural Science Edition), 2001, 31(5): 8-12 |
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| Authors: | WANG Xiang hou LI Cheng yuan |
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| Affiliation: | WANG Xiang hou 1,LI Cheng yuan 2 |
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| Abstract: | The neural network is valid for the nonlinear mapping of input and output of the system of explosion.When building a neural network the dimension of the input space should be smaller.In this paper,the blast index number and the cosumption of the dynamite are taken as the neural network inputs,the fractals distribution of the rock piece as the neural network output. |
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| Keywords: | blasting breaking size of rock fractal neural network |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
