聂军,史秀志,陈新,史采星

• 1:中南大学资源与安全工程学院

摘要(Abstract)：

针对爆破块度难以预测的问题,选用基因表达式编程(GEP)算法,以MyEclipse为开发工具,建立基于GEP的爆破块度预测模型。选取一组实测数据进行预测,并与库兹列佐夫法(Kuznetsov),多重回归分析法(MVRA),人工神经网络法(ANN)预测的结果进行对比。通过比较,GEP模型预测结果的相关系数最高,平均绝对误差、平方根误差最低,分别是0.957、0.008、0.078。预测结果表明GEP模型在爆破块度预测方面是可行的,为爆破块度预测提供了一种新的方法。

关键词(KeyWords)： 台阶爆破;爆破块度;GEP;预测

Abstract:

Keywords:

基金项目(Foundation): 国家科技支撑计划项目(2013BAB02B05)

作者(Author): 聂军,史秀志,陈新,史采星

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