Title :
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
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;
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
DOI :
10.1109/ICIC.2010.245
