| 黄土边坡稳定性分析的神经网络方法 |
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| 引用本文： | 孙祥,杨子荣,朴春德.黄土边坡稳定性分析的神经网络方法[J].辽宁工程技术大学学报(自然科学版),2003,22(Z1):117-118. |
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| 作者姓名： | 孙祥 杨子荣 朴春德 |
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| 作者单位： | 辽宁工程技术大学,资源与环境工程学院,辽宁,阜新,123000 |
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| 摘 要： | 针对黄土边坡稳定分析计算方法繁琐、复杂、精度低等缺陷,应用神经网络理论,提出了黄土边坡稳定性分析的新方法.以14个边坡工程的稳定状况作为学习样本和预测样本,讨论了基于神经网络技术的黄土边坡稳定性分析方法及其有效性.研究表明,神经网络方法具有精度高,收敛速度快,容错能力高等特点,且操作简洁方便,能有效地应用于黄土边坡稳定性分析.
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| 关 键 词： | 黄土边坡 稳定性分析 神经网络 BP模型 |
| 文章编号： | 1008-0562(2003)增刊-0117-02 |
| 修稿时间： | 2003年6月11日 |
Method of neural network in the stability analysis of loess slopes |
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| SUN Xiang,YANG Zi-rong,PIAO Chun-de.Method of neural network in the stability analysis of loess slopes[J].Journal of Liaoning Technical University (Natural Science Edition),2003,22(Z1):117-118. |
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| Authors: | SUN Xiang YANG Zi-rong PIAO Chun-de |
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| Abstract: | To overcome the defect of overelaborate for the fussy, intricate and low accurate method, a new method of stability analysis of loess slopes is put forward with the theory of neural network. Regarding stability conditions of 14 slopes as study samples and predicting samples, we discuss the stability analysis method and its usefulness based on neural network technology. The study indicates that the method of neural network has the character of high precision, high speed of convergence and allowing mistake ability. It is effective to estimate the stability analysis of loess slope. |
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| Keywords: | loess slope stability analysis neural network BP model |
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