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Fuzzy Exceed Standard Model to Identify Water-inrushing Source of Xieyi Mine

机译:识别谢义矿山突水水源的模糊超标模型

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摘要

The model of identifying groundwater source of Xieyi mine in Huainan was set up by making use of geochemistry information about groundwater of mine and fuzzy exceed standard method. Comparing combination of its discrimination with gray model, neural network model and Bayes model, the result indicates that model of fuzzy exceed standard has much high accuracy rate in discrimination of groundwater of Xieyi mine superior to gray model. Because the structure of discrimination model is stable and it's method of calculation is easy. Discrimination in harm of mine water brought out efficiently and quickly, it has high value in application.
机译:利用矿山地下水地球化学信息,运用模糊超标法,建立了淮南谢义矿山地下水源识别模型。将其判别力与灰色模型,神经网络模型和贝叶斯模型相结合,结果表明,模糊超标模型对协义矿区地下水的判别准确率要高于灰色模型。由于判别模型结构稳定,计算方法简单。有效快速地识别出矿井水的危害,具有很高的应用价值。

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