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逐孔起爆震动参数预报的BP神经网络模型
引用本文:段宝福,张猛,李俊猛.逐孔起爆震动参数预报的BP神经网络模型[J].爆炸与冲击,2010,30(4):401-406.
作者姓名:段宝福  张猛  李俊猛
作者单位:1.山东科技大学山东省土木工程防灾减灾重点实验室,山东青岛266510
摘    要:根据神经网络理论,结合逐孔起爆技术的特点,建立了爆破震动参数预报的BP网络模型。以某矿 山深孔台阶爆破为例,利用逐孔起爆过程中收集的原始资料和爆破震动监测数据,对建立的BP网络模型进 行了训练和应用。与实测值比较后发现,BP网络模型的预报结果更接近实测值。

关 键 词:爆炸力学    预报模型    BP神经网络    爆破震动    逐孔起爆

A BP neural network model for forecasting of vibration parameters from hole-by-hole detonation
DUAN Bao-fu,ZHANG Meng,LI Jun-meng.A BP neural network model for forecasting of vibration parameters from hole-by-hole detonation[J].Explosion and Shock Waves,2010,30(4):401-406.
Authors:DUAN Bao-fu  ZHANG Meng  LI Jun-meng
Institution:1.ShandongProvincialKeyLaboratoryofCivilEngineeringDisasterPreventionand Mitigation,
Abstract:By combining the neural network theory and the hole-by-hole detonation technique,a back-propagation(BP) network model was established for the forecast of blasting vibration parameters.The deep-hole stair blasting in a mine was taken as the experimental object to train the established model by using the raw information and the monitoring data collected in the hole-by-hole detonation process.And the vibration parameters were computed by applying the empirical formula and the BP network model,respectively.Comp...
Keywords:mechanics of explosion  forecast model  BP neural network  blasting vibration  hole-by-hole detonation  
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