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基于神经网络的炸药与岩石匹配的研究
引用本文:赵明生,徐海波,张敢生.基于神经网络的炸药与岩石匹配的研究[J].辽宁科技学院学报,2009,11(1):1-3.
作者姓名:赵明生  徐海波  张敢生
作者单位:辽宁科技学院资源与建筑工程系,辽宁,本溪,117022;武钢集团开圣科技有限责任公司黄石分公司,黄石,435006
摘    要:文章基于MATLAB神经网络工具箱平台,利用BP神经网络建立炸药岩石匹配模型,并根据工程实践中收集的数据和文献中的经典数据作为网络模型的学习训练和检验样本,从岩石爆破特性和爆破效果等因素出发来预测炸药爆炸特性和爆破设计参数,并结合某工程实例数据为输入值对模型进行检验,得到输出值预测误差均在10%以下,仿真效果较好。证明本模型对工程爆破实践有一定的指导意义和参考价值,并为炸药岩石匹配问题的研究提供了较好的思路。

关 键 词:岩石性质  炸药特性  匹配  神经网络

Research into the Matching between Explosives Performance and Rock Strengthbased on the Neural Network
ZHAO Ming-sheng,XU Haibo,ZHANG Gan-sheng.Research into the Matching between Explosives Performance and Rock Strengthbased on the Neural Network[J].Journal of Liaoning Institute of Science and Technology,2009,11(1):1-3.
Authors:ZHAO Ming-sheng  XU Haibo  ZHANG Gan-sheng
Institution:1.Dept.of Resource and Architectural Engineering;Liaoning Institute of Science and Technology;Benxi;Liaoning;117022;2.Huangshi branch;Kaisheng Science and Technology Co.Ltd;Wuhan Steel;Huangshi;Hubei;435006;China
Abstract:Based on the platform of MATLAB neural network toolbox,this paper presents a matching between Explosive performance and rock strength by using the BP neural network,then taking the data gathered from engineering practice and literatures as the training and check sample,and considering the blast performance and effect of rock,forecasts the blast performance and design parameters of explosives,finally taking the data gathered from an engineering project and the input,obtains that the output value and the fore...
Keywords:Rock properties  The characteristics of explosives  Matching  Neural network  
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