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Prediction of Sliding Slope Displacement Based on Intelligent Algorithm

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Abstract

In order to predict the landslide disaster effectively, the prediction system of landslide disaster based on intelligent algorithm is constructed. Lianziya and Gushuwu are used as the research object. The applicability of RBF and BP algorithm in landslide deformation displacement prediction is analyzed and compared. Based on the cumulative displacement curve of the landslide deformation, the deformation of the landslide is divided into three main stages: initial deformation, uniform deformation and acceleration deformation. When the classical intelligent algorithm BP is used to predict the landslide deformation, the selection of network structure parameters has a great influence on the prediction results. By optimizing the parameters, the optimal network structure can be constructed, and better prediction accuracy can be obtained. The results show that the improved algorithms overcome the defects of the standard BP algorithm to some extent. The accuracy of prediction is improved. LMBP has the best prediction effect. The RBF has more advantages than the LM-BP algorithm for predicting landslide deformation, which is in good agreement with the landslide curve.

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Acknowledgements

The paper is supported by Science and technology project of Ministry of transport (No. 2013318797110) “Research and application demonstration of highway slope disaster monitoring, early warning, prevention and control technology in Xinjiang Alpine mountainous area”. National innovative group fund (No. 41521002), “Early identification and monitoring and warning of potential hazards of major geological disasters in Western China”.

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Authors and Affiliations

  1. State Key Laboratory of Geo-hazard Prevention and Geo-environment Protection, Chengdu University of Technology, Chengdu, 610059, Sichuan, China

    Pei Zuan & Yong Huang

  2. Xin Jiang Communications Construction Company, Ürümqi, 830001, China

    Pei Zuan

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  1. Pei Zuan
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  2. Yong Huang
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Correspondence to Yong Huang.

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Zuan, P., Huang, Y. Prediction of Sliding Slope Displacement Based on Intelligent Algorithm. Wireless Pers Commun 102, 3141–3157 (2018). https://doi.org/10.1007/s11277-018-5333-1

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  • DOI: https://doi.org/10.1007/s11277-018-5333-1

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