边坡岩体稳定性的人工神经网络预测模型
Predicting models to estimate stability of rock slope based on artificial neural network
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摘要: 在综合分析边坡岩体变形失稳破坏模式及其影响因素的基础上 ,提出了表征边坡岩体稳定性分析的复合指标。以大量水电边坡工程的稳定状况为学习训练样本及预测样本 ,讨论了基于人工神经网络技术的边坡岩体稳定性分析方法及其有效性。研究表明 ,用人工神经网络方法预测边坡岩体的稳定状况是可行的。Abstract: The mechanism of instability of rock slopes and the main factors affecting the stability of rock slopes are comprehensively analyzed.The compound indices are proposed for evaluating the stability of rock slope.Based on a large amount of rock slope engineering cases related to hydroelectric power projects,practical effectiveness of the theory of the artificial neural network to predict the safety of rock slopes are discussed.