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基于GIS的AHP型和ANN型脆弱性指数法在底板突水评价应用中的适用性分析 被引量:6

Applicability Analysis of AHP and ANN Vulnerability Index Based on GIS in Coal Floor Water Inrush Evaluation
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摘要 为了让水文地质工作者更加科学地选择底板突水危险性评价方法,首先,从理论上分析、对比了2种常用的底板突水评价方法——基于GIS的层次分析(Analytic Hierarchy Process,简称AHP)型脆弱性指数法和基于GIS的人工神经网络(Artificial Neural Network,简称ANN))型脆弱性指数法;然后,以实际矿井为研究对象,运用这2种方法对其底板进行了突水危险性评价,从评价过程中总结出两者的异同。结果表明:两者各有优缺点,应根据实际资料和需求进行合理选择。 In order to select evaluation method of floor water inrush hazard scientifically for geologist, firstly, two common floor waterinrush evaluation methods were compared form theoretically, which is vulnerability index AHP based on GIS and vulnerability indexANN based on GIS, and then it taking practical site as studying object, floor water inrush hazard was evaluated by the two methods,its similarities and differences of two methods were obtained during evaluation process. The results showed that the method should be se-lected reasonable according practical and requirement.
出处 《煤矿开采》 北大核心 2018年第1期8-12,共5页 Coal Mining Technology
基金 国家自然科学基金(41702261) 中国博士后科学基金(2016M601172) 武汉市"黄鹤英才计划"联合资助项目
关键词 脆弱性指数 底板突水 层次分析法 人工神经网络 vulnerability index water inrush in floor analytical hierarchy process artificial neural network
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