期刊文献+

煤与瓦斯突出预测的模糊ISODATA聚类方法研究 被引量:7

Study on Fuzzy ISODATA Cluster Method for Prediction of Coal and Gas Outburst
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摘要 煤与瓦斯突出影响因素复杂,是不确定性问题,即不仅具有随机性,又具有模糊性。提出将模糊ISODATA聚类应用于煤与瓦斯突出的预测,以平顶山八矿煤与瓦斯突出相关因素指标为基础,对潜在的突出危险区域进行了聚类分析,预测结果与矿井生产实践相一致。 Coal and gas outburst affected by many complicated factors, which are uncertain ones and have randomness and fuzziness. The author proposed to use fuzzy ISODATA cluster method for the forecast of coal and gas outburst and conducted cluster analysis on the region with potential outburst hazard based on the relevant factors with coal and gas outburst in Pingdingshan No.8 Mine and the prediction results are consistent with the actual mine production.
出处 《矿业安全与环保》 2003年第3期20-21,24,共3页 Mining Safety & Environmental Protection
基金 国家自然科学基金(40002010)
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参考文献1

  • 1Guo De-yong, Song Guang-tui.Research on cool structure indices to coal and gas outbursts in Pingdingshan Mine Area, China-Journal of Coal Science&Engineering ( China )2002 ( 1 ).

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