DocumentCode :
1898095
Title :
Notice of Retraction
Evaluation on the Stability of Rock Mass Deformation Based on Chaotic Muation -RPNN Model
Author :
Sha Ma ; Lianhai Cao
Author_Institution :
North China Univ. of Water Resources & Electr. Power, Zhengzhou, China
fYear :
2010
fDate :
25-26 Dec. 2010
Firstpage :
1
Lastpage :
4
Abstract :
Notice of Retraction

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

To analysis the stability of rock mass long-term developing deformation,the chaotic muation -RPNN model is built. Combining the chaos theory,the muation theory is introduced, and the stability of rock mass deformation is evaluated by chaotic muation -RPNN model. The lost measured displacement data are interpolated by using the higher order polynomial methos, and the long-term displacement is forecasted,and the stability of rock mass long-term developing deformation is analyzed. Research shows that the strend of predicted displacement is approximately the same as that of measuring displacement,and there is no suddenly dropped or sudden increased phenomena,and the displacement increasing strend of some measuring point remains stable with Lower growth trend, and the deformation of rock mass is strending to be stable.
Keywords :
deformation; geotechnical engineering; mechanical stability; neural nets; polynomials; rocks; structural engineering computing; RPNN neural network; chaos theory; chaotic muation-RPNN model; higher order polynomial method; lost measured displacement data; muation theory; rock mass deformation stability; Chaos; Displacement measurement; Loss measurement; Polynomials; Position measurement; Stability analysis; Time measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Engineering and Computer Science (ICIECS), 2010 2nd International Conference on
Conference_Location :
Wuhan
ISSN :
2156-7379
Print_ISBN :
978-1-4244-7939-9
Type :
conf
DOI :
10.1109/ICIECS.2010.5678219
Filename :
5678219
Link To Document :
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