| 堆石坝料开采爆破参数优化的神经网络法研究 |
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| 引用本文： | 祝文化,朱瑞赓,夏元友. 堆石坝料开采爆破参数优化的神经网络法研究[J]. 工程爆破, 2001, 7(1): 20-23 |
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| 作者姓名： | 祝文化 朱瑞赓 夏元友 |
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| 作者单位： | 武汉工业大学, |
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| 摘 要： | 探讨人工神经网络BP模型用于爆破参数优化的方法 ,结合最优目标函数 ,实现对堆石坝料开采爆破参数的优化。通过一个工程实例 ,简介了人工神经网络BP算法的基本原理、爆破参数优化网络模型的建立和求解。结果证明 ,这个优化模型是可行的。
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| 关 键 词： | 堆石坝料 爆破参数优化 人工神经网络 BP模型 |
| 文章编号： | 1006-7051(2001)01-0020-04 |
| 修稿时间： | 2000-05-19 |
RESEARCH ON OPTIMIZATION OF BLASTI NG PARAMETERS FOR MINING OF DAM RO CK-FILL MATERIAL BY NEURAL NETWORK METHOD |
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| ZHU Wen-hua,ZHU Rui-geng,XIA Yuan-you. RESEARCH ON OPTIMIZATION OF BLASTI NG PARAMETERS FOR MINING OF DAM RO CK-FILL MATERIAL BY NEURAL NETWORK METHOD[J]. Engineering Blasting, 2001, 7(1): 20-23 |
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| Authors: | ZHU Wen-hua ZHU Rui-geng XIA Yuan-you |
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| Abstract: | In this paper,a method of using the artificial neural network BP model for optimization of blasting parameters is discussed In the light of the optimal object function,the optimization of blasting parameters for mining of dam rock fill material can be achieved By an engineering example,the principle of the neural network BP algorithm and the establishment and solution of a network model for optimization of blasting parameters are briefly introduced The results have shown that this optimizing model is feasible |
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| Keywords: | Dam rock fill material Optimization of blasting parameter Artificial neural network BP model |
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