DocumentCode
2992221
Title
Research on the Method of Deformation Monitoring Prediction Based on Fuzzy Neural Netwrok
Author
Gang, Chen ; You-li, Ma ; Hua, Sun ; Xiong, Pan
Author_Institution
Fac. of Inf. Eng., China Univ. of Geosci., Wuhan, China
fYear
2010
fDate
25-27 June 2010
Firstpage
1795
Lastpage
1797
Abstract
To improve the accuracy and reliability of deformation monitoring data on analyzing and forecasting, this paper attempts to apply the method that combines fuzzy logic and neural network in deformation monitoring data process, and predict with other methods accordingly, then we come to a conclusion through the comparison of instance data that Fuzzy Neural Network for deformation monitoring forecasting is more accurate and superior and will be applied widely in the dam monitoring in the future.
Keywords
condition monitoring; dams; deformation; fuzzy set theory; mechanical engineering computing; neural nets; dam monitoring; deformation monitoring prediction; fuzzy logic; fuzzy neural network; Artificial neural networks; Deformable models; Forecasting; Fuzzy logic; Fuzzy neural networks; Mathematical model; Monitoring; deformation monitoring prediction; fuzzy logic; fuzzy neural network;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical and Control Engineering (ICECE), 2010 International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-6880-5
Type
conf
DOI
10.1109/iCECE.2010.441
Filename
5630483
Link To Document