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台阶压碴爆破效果遗传神经网络预测
引用本文:赵春艳,常春,张继春,朱浮声.台阶压碴爆破效果遗传神经网络预测[J].沈阳大学学报,2004,16(2):62-64,73.
作者姓名:赵春艳  常春  张继春  朱浮声
作者单位:1. 东北大学,资源与土木工程学院,辽宁,沈阳,110004
2. 沈阳大学,建筑工程学院,辽宁,沈阳,110004
3. 西南交通大学,土木学院,四川,成都,610031
摘    要:应用遗传神经网络模型对台阶压碴爆破效果进行了预测,增强了预测结果的可靠性。遗传神经网络是人脑的模型,从爆破实例中获取经验知识,并应用专家知识对爆破效果进行预测,取得了符合实际的预测结果,从而为选择爆破控制参数和取得良好的爆破效果提供了依据.

关 键 词:压碴爆破  爆破效果  遗传神经网络
文章编号:1008-9225(2004)02-0062-03
修稿时间:2003年11月5日

Prediction of bench tight blasting effects by genetic neural network
ZHAO Chun-yan,CHANG Chun,ZHANG Ji-chun,ZHU Fu-sheng College of Resource and Civil Engineering,Northeastern University,Shenyang ,China,School of Architectural and Civil Engineering,Shenyang University,Shenyang ,China,School of Civil Engineering,Southwest Jiaotong University,Chengdu ,China.Prediction of bench tight blasting effects by genetic neural network[J].Journal of Shenyang University,2004,16(2):62-64,73.
Authors:ZHAO Chun-yan  CHANG Chun  ZHANG Ji-chun  ZHU Fu-sheng College of Resource and Civil Engineering  Northeastern University  Shenyang  China  School of Architectural and Civil Engineering  Shenyang University  Shenyang  China  School of Civil Engineering  Southwest Jiaotong University  Chengdu  China
Institution:ZHAO Chun-yan,CHANG Chun,ZHANG Ji-chun,ZHU Fu-sheng College of Resource and Civil Engineering,Northeastern University,Shenyang 110004,China,School of Architectural and Civil Engineering,Shenyang University,Shenyang 110044,China,School of Civil Engineering,Southwest Jiaotong University,Chengdu 610031,China
Abstract:Predicts bench tight blasting effects by genetic neural network,which can enhance the reliability of predicting effects. Genetic neural network is the model of human brain. Acquires experiences from blasting examples and predicts blasting effects applying expert knowledge. The predicted result conforming to reality is obtained. It is the basis of choosing blasting control parameters and acquiring better blasting effects.
Keywords:tight blasting  blasting effects  genetic neural network
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