Research of Cloud Neural Network and its Application on Seepage of Earth Rockfill Dam

Li Wei Han; Mei Li Meng

doi:10.4028/www.scientific.net/AMR.268-270.1228

Paper Titles

20 (S)-Ginsenoside-Rh2 and 20 (R)-Ginsenoside-Rh2 Activate IkappaB Phosphorylation Expression in Human Lung Adenocarcinoma A549 Cells
p.1205

Software Programme and Application of Water and Wastewater Network Optimization
p.1211

Personalized Search Engineer Model
p.1216

Analysis of the Feed Direction Burr in Turning Based on FEM
p.1222

Research of Cloud Neural Network and its Application on Seepage of Earth Rockfill Dam
p.1228

Image Edge Detection Based on Direction Fuzzy Entropy
p.1234

A Hybrid Filtering Method Based on Triangle-Module Fusion
p.1239

Development and Application of Mining Spares Management Information System
p.1245

Overview of Network Displaying Methods of Apparel
p.1249

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 268-270Research of Cloud Neural Network and its...

Research of Cloud Neural Network and its Application on Seepage of Earth Rockfill Dam

Abstract:

For the aim of being able to reflect the randomness, fuzziness and the relevance between the two existed in the seepage property of earth rockfill dam, by assumption of normal cloud distribution of the seepage parameter, a new back-analysis method based on cloud neural network(CNN) is presented in this paper, which has being used in the nonlinear system simulation successfully. At last the method was applied to the back analysis of a dam’s seepage property, and the result shows that the application is feasible.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 268-270)

Pages:

1228-1233

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.268-270.1228

Citation:

Cite this paper

Online since:

July 2011

Authors:

Li Wei Han, Mei Li Meng

Keywords:

Back Analysis, Cloud Neural Network, Seepage Property, Uncertainty

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] LI Deren, WANG Shuliang, LI Deyi. Spatial data mining theories and application. Beijing: Science Press, pp.327-328, (2006).

Google Scholar

[2] Li Deyi, Duyi, Yin Guoding, et al. Commonsense Knowledge Modeling. 16th World Computer Congress 2000, Beijing, (2000).

Google Scholar

[3] Li Deyi, Liu Changyu. Study on the Universality of the Normal Cloud Model. Engineering Sciences, pp.28-34, vol. 6, (2004).

Google Scholar

[4] Han Liwei. Back analysis of earth rockfill dam's seepage property and safety evaluation based on cloud theory. ZhengZhou University, pp.91-106, (2009).

Google Scholar