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

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

    • 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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