Research on a Kind of Deformation Prediction Model of Wavelet Neural Network

Hong Yan Wen; Ji Yuan Hu; Yuan Jin Pan; Mei Lin He

doi:10.4028/www.scientific.net/AMM.584-586.1933

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 584-586Research on a Kind of Deformation Prediction Model...

Research on a Kind of Deformation Prediction Model of Wavelet Neural Network

Abstract:

Combining with the localized analysis capability of the wavelet and the learning capability of the neural network, this article investigates the wavelet neural network nonlinear time series model and the wavelet neural network architecture integrated model which combines the affine transformation and the rotation transformation ,moreover, based on wavelet neural network algorithm that substitutes the Morlet wavelet function for the Sigmoid function, researchers analyze the application of Wavelet Neural Network in settlement deformation of high-speed rail. The example this paper discussed shows that the wavelet neural network has good results in the deformation prediction, especially in large complicated engineering.

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Periodical:

Applied Mechanics and Materials (Volumes 584-586)

Pages:

1933-1938

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.584-586.1933

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Online since:

July 2014

Authors:

Hong Yan Wen, Ji Yuan Hu, Yuan Jin Pan, Mei Lin He

Keywords:

Deformation Prediction, Wavelet Analysis, Wavelet Neural Network

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References

[1] Liang Zhenying, Mou Xiuzhen, Li Ming. On the error propagation accuracy estimation and quality control in the high-precision leveling. Acta Geodaetica et Cartographic Sinica, vol. 26(3), pp.199-205, August, (1997).

Google Scholar

[2] Luo Zhicai, Chen Yongqi, LIU Yanxiong. Application of GPS in the Study of Vibration Characteristics. Acta Geodaetica et Cartographic Sinica, vol. 29(2), pp.118-122, May, (2000).

Google Scholar

[3] Chen Yongqi, Wu Zian, Wu Zhongru. The analysis and forecast of deformation monitoring. Beijing: Surveying and mapping press, (1998).

Google Scholar

[4] Huang Guobin, Du Zhixing, Jin Fengxiang. Pattern recognition method for periodical error of repeating surver. Crustal Deformation and Earthquake, vol. 19(4), pp.45-48, November (1999).

Google Scholar

[5] Tao Benzao. Free net adjustment and deformation analysis. Beijing: Surveying and mapping press, (1984).

Google Scholar

[6] Wen Hongyan. Application of wavelet multi-solution analysis to deformation analysis. Crustal Deformation and Earthquake, vol. 20(3), pp.27-32, August, (2000).

Google Scholar

[7] Wen Hongyan, Tang Shihua, Lin Wenjie. Deformation analysis model of wavelet theory. Journal of Guilin University of Technology, vol. 19(4), pp.339-342, October (1999).

Google Scholar