Application of on artificial neural networks to blasting fragment prediction

WANG Xue-qing; SHAN Ren-liang

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Application of on artificial neural networks to blasting fragment prediction

更新时间：2026-06-25

- Application of on artificial neural networks to blasting fragment prediction
- Vol. 29, Issue S1, (2008)
- 作者机构：
  
  中国矿业大学（北京）力学与建筑工程学院,北京,100083
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP391
- Online First：15 April 2016，
  
  Published：2008
- 稿件说明：
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WANG Xue-qing, SHAN Ren-liang. Application of on artificial neural networks to blasting fragment prediction[J]. 2008, 29(S1).
DOI：

WANG Xue-qing, SHAN Ren-liang. Application of on artificial neural networks to blasting fragment prediction[J]. 2008, 29(S1). DOI：

摘要

利用人工神经网络模型对爆破块度进行预测，实验结果表明，该方法是完全可行的。通过对实验样本数据进行归一化处理后再对人工神经网络模型进行训练和预测，其预测精度会得到大大提高。

Abstract

Test results prove that the method

making use of artificial neural networks (ANN) for blasting fragment prediction

is completely feasible. The prediction precision of ANN is greatly improved by use of the data after normalizing sample data.

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