Introducing an open-pit mine slop stability evaluation system based on case-based reasoning

Bahade Aierken, A. Wulamu, Ruolin Zhang
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引用次数: 1

Abstract

Though slope disaster management practice has accumulated a lot of success and failure of slope treatment project cases, large amounts of data information produced by these engineering cases were not been taken full advantage of therefore caused great waste of resources. Fully development and usage of large amounts of stability-known slope experience undoubtedly have important practical significance. Therefore, based on the usage of previous open-pit mine slope engineering cases, this paper proposes an intelligent slope stability evaluation system based on case-based reasoning. The system uses frame to represent store cases, uses analytic hierarchy process to determine the weight of case attribute, uses similarity calculation method based on Euclidean distance to retrieve case in order to get the result, and finally analyzes the results or reforms the case base if problems exist. Through experimental analysis, this paper proves the validity and feasibility of the system.
介绍了一种基于实例推理的露天矿边坡稳定性评价系统
虽然在边坡灾害管理实践中积累了大量成功和失败的边坡治理工程案例,但这些工程案例产生的大量数据信息没有得到充分利用,造成了资源的极大浪费。充分开发和利用大量已知边坡稳定性的经验无疑具有重要的现实意义。因此,本文在借鉴前人露天矿边坡工程案例的基础上,提出了一种基于案例推理的边坡稳定性智能评价系统。系统采用框架表示存储案例,采用层次分析法确定案例属性的权重,采用基于欧几里得距离的相似度计算方法检索案例以获得结果,最后对结果进行分析或对存在问题的案例库进行改造。通过实验分析,验证了该系统的有效性和可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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