邓跃进, 王葆元, 张正禄. 边坡变形分析与预报的模糊人工神经网络方法[J]. 武汉大学学报 ( 信息科学版), 1998, 23(1): 26-31.
引用本文: 邓跃进, 王葆元, 张正禄. 边坡变形分析与预报的模糊人工神经网络方法[J]. 武汉大学学报 ( 信息科学版), 1998, 23(1): 26-31.
Deng Yuejin, Wang Baoyuan, Zhang Zhenglu. Application of Fuzzy Artifical Neural Network to the Deformation Analysis and Predication of Side Slope[J]. Geomatics and Information Science of Wuhan University, 1998, 23(1): 26-31.
Citation: Deng Yuejin, Wang Baoyuan, Zhang Zhenglu. Application of Fuzzy Artifical Neural Network to the Deformation Analysis and Predication of Side Slope[J]. Geomatics and Information Science of Wuhan University, 1998, 23(1): 26-31.

边坡变形分析与预报的模糊人工神经网络方法

Application of Fuzzy Artifical Neural Network to the Deformation Analysis and Predication of Side Slope

  • 摘要: 边坡变形受地质、水文、气候、突发因素(如暴雨、地震)、人工活动(如开挖或防护)等各种因素的影响,这些因素与变形之间一般不是确定的定量关系。本文介绍了不同影响因素与位移量的模糊关系及位移量的模糊近似推论,在此基础上应用模糊人工神经网络进行位移量预报,并以一个边坡监测资料为例说明了具体的应用方法。

     

    Abstract: The deformation of a side slope depends on several factors,such as geological condition,rainfall and underground water.However,the relationships between these factors and deformation can not be surely regarded as determinate and quantitative.In this paper the fuzzy relationships between different factors and displacement as well as the fuzzy approximate inference of displacement are analyzed,then based on this the application of fuzzy artifical neural network to deformation predication is introduced and demonstrated by a practical example of a side slope deformation monitoring.

     

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