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水泥技术, 2015, 1(1): 36-39    
  实验研究 本期目录 | 过刊浏览 | 高级检索 |
BP神经网络在爆破块度预测中的应用研究
1 天津水泥工业设计研究院有限公司 2 陕西渭南正茂工程爆破有限公司
Application Research of BP Neural Network in Predication of Rock Fragmentation
1.Tianjin Cement Industry Design & Research Institute Co.,Ltd.  2.Weinan Blasting Engineering Co. Ltd.
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摘要 本文应用BP神经网络对水泥矿山爆破块度进行仿真预测研究,使用Matlab软件建立一个3层前馈型BP神经网络模型,并在网络模型训练完毕后进行实测样本的仿真预测验证。试验结果表明,应用BP神经网络模型预测矿山爆破块度分布完全可行,且具有较高的精度;网络模型还可在矿山爆破参数优化设计方面起到辅助验证的作用。
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赵翔
郭小平
朴志友
石鹏雄
关键词:  BP神经网络  爆破块度  仿真预测  爆破参数优化    
Abstract: The Back-Propagation Neural Network is utilized to research rock fragmentation prediction in cement mine. The paper establishes a three-layer feed forward BP Neural Network model by Matlab software. After the model is trained it is used to simulate and predict measured sample .The prediction result proves that using the model to predicate rock fragmentation distribution is completely feasible and has better precision. The model also can be used to auxiliary verify optimal design of mine blasting parameters .
Key words:  back-propagation neural network    rock fragmentation    simulation and prediction    blasting parameters optimization
收稿日期:  2014-05-29                出版日期:  2015-01-25      发布日期:  2018-05-17      整期出版日期:  2015-01-25
TD235.14  
引用本文:    
赵翔, 郭小平, 朴志友, 石鹏雄.
BP神经网络在爆破块度预测中的应用研究
[J]. 水泥技术, 2015, 1(1): 36-39.
ZHAO Xiang, GUO Xiaoping, PIAO Zhiyou, SHI Pengxiong.
Application Research of BP Neural Network in Predication of Rock Fragmentation
. Cement Technology, 2015, 1(1): 36-39.
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http://www.cemteck.com/CN/  或          http://www.cemteck.com/CN/Y2015/V1/I1/36
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