Chaotic SVM Prediction Model of High-rise Building Based on Multi-scale EMD Decomposition

Author

Xinxia, Liu ; Anbing, Zhang ; Weijin, Di

Author_Institution

Hebei Univ. of Eng., Handan, China

Volume

3

fYear

2010

fDate

4-6 June 2010

Firstpage

241

Lastpage

243

Abstract

A new idea was put forward for chaotic characteristics and time-variable law of surface subsidence of goaf by means of EMD and prediction methods of chaotic. Problems of space reconstruction of IMFS, establishment chaotic prediction model and application of model were discussed. EMD-SVM methods were used for modeling and predicting the goaf subsidence. The result of the simulation experiment shows that the new model have a high accuracy in prediction of the deformation sequence.

Keywords

Hilbert transforms; mining; support vector machines; Hilbert-Huang transform; IMFS space reconstruction; chaotic SVM prediction model; empirical mode decomposition; goaf subsidence; high rise building; multiscale EMD decomposition; support vector machine; Chaos; Data mining; Deformable models; Earth; Nonlinear distortion; Predictive models; Signal processing; Space technology; Support vector machines; Surface reconstruction; multi-scale; phase space reconstruction; prediction;

fLanguage

English

Publisher

ieee

Conference_Titel

Information and Computing (ICIC), 2010 Third International Conference on

Conference_Location

Wuxi, Jiang Su

Print_ISBN

978-1-4244-7081-5

Electronic_ISBN

978-1-4244-7082-2

Type

conf

DOI

10.1109/ICIC.2010.245

Filename

5513967