Wavelet support vector machine-based prediction model of dam deformation

•SVM and other methods are combined to build prediction model of dam deformation.•Three key problems on SVM are investigated.•The proposed approach can reduce the human impact on modeling process. Considering the strong nonlinear dynamic characteristics of dam deformation, the prediction model of da...

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Veröffentlicht in:	Mechanical systems and signal processing Jg. 110; S. 412 - 427
Hauptverfasser:	Su, Huaizhi, Li, Xing, Yang, Beibei, Wen, Zhiping
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin Elsevier Ltd 15.09.2018 Elsevier BV
Schlagworte:	Basis functions Characteristics identification Dam deformation Dams Deformation Design engineering Dynamic characteristics Improved particle swarm optimization algorithm Kernel functions Mathematical models Model accuracy Morlet wavelet Particle swarm optimization Prediction model Reconstruction Support vector machines Wavelet analysis Wavelet support vector machine Wavelet transforms Dam deformation Improved particle swarm optimization algorithm Characteristics identification Prediction model Wavelet support vector machine
ISSN:	0888-3270, 1096-1216
Online-Zugang:	Volltext
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