吴兆立. 基于蜻蜓算法和最小二乘支持向量机的矿井突水水源判别[J]. 中国矿业, 2021, 30(2): 91-94. DOI: 10.12075/j.issn.1004-4051.2021.02.032
    引用本文: 吴兆立. 基于蜻蜓算法和最小二乘支持向量机的矿井突水水源判别[J]. 中国矿业, 2021, 30(2): 91-94. DOI: 10.12075/j.issn.1004-4051.2021.02.032
    WU Zhaoli. Identification of mine water inrush source based on dragonfly algorithm and least squares support vector machine[J]. CHINA MINING MAGAZINE, 2021, 30(2): 91-94. DOI: 10.12075/j.issn.1004-4051.2021.02.032
    Citation: WU Zhaoli. Identification of mine water inrush source based on dragonfly algorithm and least squares support vector machine[J]. CHINA MINING MAGAZINE, 2021, 30(2): 91-94. DOI: 10.12075/j.issn.1004-4051.2021.02.032

    基于蜻蜓算法和最小二乘支持向量机的矿井突水水源判别

    Identification of mine water inrush source based on dragonfly algorithm and least squares support vector machine

    • 摘要: 对矿井突水水源的准确判别对于矿井安全生产有着重要的意义。本文提出采用基于蜻蜓算法和最小二乘支持向量机相结合的矿井突水水源预测方法,以等6种水中离子作为矿井突水水源模型的识别因素,利用收集的水样数据对最小二乘支持向量机进行训练和测试,研究结果表明基于蜻蜓算法和最小二乘支持向量机判别模型的计算结果与实际结果一致,而且具有良好的判别能力,其对提高矿井突水水源判别的准确性有着一定的借鉴意义。

       

      Abstract: It is very important to distinguish the source of mine water inrush for mine safety.In this paper, the dragonfly algorithm and least square support vector machine are used to predict the water source of mine water inrush.Six kinds of water ions such as are used as the identification factors of mine water inrush source model, and the least square support vector machine is trained and tested by using the collected water sample data.The research results show that the calculation results of the identification model based on dragonfly algorithm and least square support vector machine are consistent with the actual results, and had good discrimination ability, which can improve the accuracy of mine water inrush source identification.It had certain reference significance.

       

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