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Prediction method of rock burst proneness based on rough set and genetic algorithm

机译:基于粗糙集和遗传算法的岩爆倾向性预测方法

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摘要

A new method based on rough set theory and genetic algorithm was proposed to predict the rock burst proneness. Nine influencing factors were first selected, and then, the decision table was set up. Attributes were reduced by genetic algorithm. Rough set was used to extract the simplified decision rules of rock burst proneness. Taking the practical engineering for example, the rock burst proneness was evaluated and predicted by decision rules. Comparing the prediction results with the actual results, it shows that the proposed method is feasible and effective.
机译:提出了一种基于粗糙集理论和遗传算法的岩爆倾向性预测新方法。首先选择九个影响因素,然后建立决策表。通过遗传算法减少属性。粗糙集被用来提取岩爆倾向性的简化决策规则。以实际工程为例,通过决策规则对岩爆倾向性进行评估和预测。将预测结果与实际结果进行比较,表明该方法是可行和有效的。

著录项

  • 来源
    《煤炭学报:英文版》 |2009年第004期|367-373|共7页
  • 作者单位

    College of Resource and Environment, North China University of Water Conservancy and Electric Power, Zhengzhou 450011, China;

    College of Resource and Environment, North China University of Water Conservancy and Electric Power, Zhengzhou 450011, China;

    Faculty of Engineering, China University of Geoseiences, Wuhan 430074, China;

    College of Resource and Environment, North China University of Water Conservancy and Electric Power, Zhengzhou 450011, China;

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  • 原文格式 PDF
  • 正文语种 chi
  • 中图分类 化学;
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  • 入库时间 2022-08-18 14:21:54
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