Displacement Prediction of Rock Slope on Genetic Neural Network

Article Preview

Abstract:

Displacement and its grow are critical to the stability of rock slope, in this thesis, by applying Genetic Neural Network to modeling the data obtained by monitoring, the patterns and trends of slope deformation are analyzed and predicted, and therefore supply the reliable basis for slope management.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

768-771

Citation:

Online since:

August 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Z B Liu, W Y Xu and Y D Meng: Proceedings of 2009 IEEE International Conference on Grey Systems and Intelligent Services, Nov. Nanjing, China, 2009, p.415.

Google Scholar

[2] Weiya Xu and Jianfu Shao: Journal of Wuhan University of Hydraulic and Electric (Yichang), Vol. 19(2) (1997), p.9.

Google Scholar

[3] Zaobao Liu, Weiya Xu, and Kaipu Zhang: Journal of Hohai University (Natural Sciences), Vol. 37(3) (2009), p.313.

Google Scholar

[4] Weiya Xu, Xiaolong Tan and Zhongming Jiang: Chinese Journal of Rock Mechanics and Engineering, Vol. 26(6) p.1232.

Google Scholar

[5] Huaming Liu, Huan Qi and Zhiqiang Cai: Chinese Journal of Rock Mechanics and Engineering, Vol. 22(3) (2003), p.434.

Google Scholar

[6] Runqiu HUANG: Scientific and Technological Management of Land and Resources, Vol. (6) (2004), p.15.

Google Scholar

[7] Lu Yang and Ziyou Gao: Journal of Northern Jiaotong University, Vol. 23(3) (1999), p.53.

Google Scholar

[8] Bindang Xue, Huiguo Sun, Wenfang Xue and Bin Shi: Journal of Zhengzhou University, Vol. 20(1), (1999).

Google Scholar

[9] Xiaorng He, Bingzhen Chen, Xiaoguang Zhao and Dong Yan: Journal of Tsinghua University Vol. 35(3) (1995), p.31.

Google Scholar

[10] Zhiqiang Zhang, Xiating Feng, Chengxiang Yang: Rock and Soil Mechanics, Vol. 20(4) (1999), p.19.

Google Scholar