It is of great engineering significance to accurately predict the displacement of slopes for the slope stability evaluation, slope failure forecast and catastrophe control of landslides.
边坡位移的准确预测对于边坡稳定性评价、边坡安全状态的预警以及滑坡灾害的控制具有重要意义。
A slope stability evaluation method based on particle swarm optimization (PSO) and least square support vector machine (LSSVM) is proposed.
提出了基于粒子群算法(PSO)和最小二乘支持向量机(LSSVM)的边坡稳定性评价方法。
Firstly, this paper discussed the present state of slope stability evaluation research and its tendency, many kinds of slope stability estimation methods and their character.
首先，本文论述了边坡稳定性评估方法的研究现状和发展趋势，介绍了边坡稳定性评估各方法及其特点。
The commonly used expressions of results of slope stability evaluation, namely, these criteria for evaluation of slope stability are systematically summarized and analyzed in this paper.
本文比较全面系统地总结分析了目前边坡工程中常用的各种稳定性评价结果的表达方式，即各种边坡稳定判据。
The commonly used expressions of results of slope stability evaluation, namely, these criteria for evaluation of slope stability are systematically summarized and analyzed in this paper.
本文比较全面系统地总结分析了目前边坡工程中常用的各种稳定性评价结果的表达方式，即各种边坡稳定判据。
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