| 台阶压碴爆破效果遗传神经网络预测 |
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| 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].岩土力学,2003(Z2). |
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| 作者姓名： | 赵春艳 常春 张继春 朱浮声 |
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| 作者单位： | 东北大学土木系，沈阳大学建筑工程学院，西南交通大学土木学院，东北大学土木系 辽宁沈阳110006，沈阳大学建筑工程学院，辽宁沈阳110044，辽宁沈阳110044，四川成都610031，辽宁沈阳110006 |
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| 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。
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| 关 键 词： | 压碴爆破 爆破效果 遗传神经网络 |
Prediction of bench tight blasting effects through genetic neural network |
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| ZHAO Chun-yan,CHANG Chun,ZHANG Ji-chun,ZHU Fu-sheng.Prediction of bench tight blasting effects through genetic neural network[J].Rock and Soil Mechanics,2003(Z2). |
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| Authors: | ZHAO Chun-yan CHANG Chun ZHANG Ji-chun ZHU Fu-sheng |
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| Institution: | ZHAO Chun-yan1,2,CHANG Chun2,ZHANG Ji-chun3,ZHU Fu-sheng1 |
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| Abstract: | In this paper bench tight blasting effects are predicted by genetic neural network, then the reliability of predicting effects is enhanced. The genetic neural network is model of human brain, and has the advantages of computer and expert respectively. It acquires the experience knowledge from blasting actual examples, and applies it to predict blasting effects. The predicted result matches actual condition, satisfies production demands. It provides the basis of choosing blasting control parameters and acquiring better blasting effects. |
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| Keywords: | tight blasting blasting effect genetic neural network |
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