| 边坡岩体稳定性的RBF人工神经网络预测模型 |
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| 引用本文： | 邱秀梅,姜德贵. 边坡岩体稳定性的RBF人工神经网络预测模型[J]. 山东农业大学学报(自然科学版), 2008, 39(4) |
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| 作者姓名： | 邱秀梅 姜德贵 |
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| 作者单位： | 山东农业大学水利土木工程学院,泰安,271018;山东农业大学水利土木工程学院,泰安,271018 |
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| 摘 要： | 利用RBF人工神经网络理论,采用影响边坡稳定性的复合指标,以大量边坡工程的稳定状况为学习训练和预测样本,建立了RBF预报模型。讨论了基于RBF人工神经网络技术的边坡岩体稳定性分析方法及有效性。研究表明,用RBF人工神经网络方法预测边坡岩体的稳定状况是可行的。
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| 关 键 词： | (RBF)人工神经网络技术 复合指标 边坡岩体稳定性分析 |
PREDICTING MODELS TO ESTIMATE STABILITY OF ROCK SLOPE BASED ON RBF -ARTIFICIAL NEURAL NETWORK |
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| QIU Xiu-mei,JIANG De-gui. PREDICTING MODELS TO ESTIMATE STABILITY OF ROCK SLOPE BASED ON RBF -ARTIFICIAL NEURAL NETWORK[J]. Journal of Shandong Agricultural University, 2008, 39(4) |
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| Authors: | QIU Xiu-mei JIANG De-gui |
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| Abstract: | Using the theory of RBF-artificial neural network and the compound indices for affecting the stability of rock slopes,based on a large amound of rock slope engineering cases related to project,a RBF-model for prediction was set up.The practical effectiveness of the theory of RBF-artificial neural network to predict the safety of rock slopes was discussed.The study suggested that the method was feasible for prediction of rock slope stability. |
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| Keywords: | Method of RBF-artificial neural network composite index to estimate stability of rock slope analysis of rock slope stability |
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