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| BP和RBF神经网络在边坡稳定性评估中的比较研究 | |
| 引用本文： | 麻官亮,邵玉刚. BP和RBF神经网络在边坡稳定性评估中的比较研究[J]. 路基工程, 2012, 0(1): 161-164 |
| 作者姓名： | 麻官亮 邵玉刚 |
| 作者单位： | 中交第二公路勘察设计研究院有限公司，武汉 430052 |
| 摘 要： | 通过实例分析，对BP神经网络和RBF神经网络在边坡稳定性评估中的应用进行了比较研究，结果表明，BP神经网络和RBF神经网络均能很好地对边坡稳定性进行评估，但RBF神经网络比BP神经网络的训练速度更快，效率更高，并且对于同样的精度要求，RBF神经网络对边坡稳定性的评估结果更加准确和适用。 |
| 关 键 词： | BP神经网络 RBF神经网络 边坡稳定 评估 |
| 收稿时间： | 2019-11-10 |
Comparative Research on BP and RBF Neural Networks in Slope Stability Assessment |
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| MA Guan-liang,SHAO Yu-gang. Comparative Research on BP and RBF Neural Networks in Slope Stability Assessment[J]. , 2012, 0(1): 161-164 | |
| Authors: | MA Guan-liang SHAO Yu-gang |
| Affiliation: | (China Communications Second Highway Survey,Design and Research Institute,Wuhan 430052,China) |
| Abstract: | Through case analysis,the application of BP and RBF neural networks in slope stability assessment is studied comparatively.The result shows that both BP and RBF neural networks could be applied for slope stability assessment;however RBF neural network has faster training speed and higher efficiency than BP neural network and for the same requirement on accuracy,the application result of RBF neural network in slope stability assessment is more correct and applicable. |
| Keywords: | BP neural network RBF neural network slope stability assessment |
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