A Deformation Prediction Model of High Arch Dams in the Initial Operation Period Based on PSR-SVM-IGWO
The deformation prediction of the dam in the initial stage of operation is very important for the safety of high dams. A hybrid model integrating chaos theory, support vector machine (SVM), and an improved Grey Wolf Optimization (IGWO) algorithm is developed for deformation prediction of dam in the...
Guardado en:
Autores principales: | Mingjun Li, Jiangyang Pan, Yaolai Liu, Hao Liu, Junxing Wang, Zhou Zhao |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Hindawi Limited
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/c44eb46eb7ae41f3a59f08b8c4ad7a90 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Safety Evaluation of Arch Dam Subjected to Underwater Contact Explosion
por: Xiaohua Zhao, et al.
Publicado: (2021) -
Crack-Considered Elastic Net Monitoring Model of Concrete Dam Displacement
por: Jiingmei Zhang, et al.
Publicado: (2021) -
A New Performance Degradation Evaluation Method Integrating PCA, PSR and KELM
por: Mingyang Lv, et al.
Publicado: (2021) -
Analysis of the influence of asymmetric geological conditions on stability of high arch dam
por: Ding Zelin, et al.
Publicado: (2021) -
Dam failure peak outflow prediction through GEP-SVM meta models and uncertainty analysis
por: Mohammad Nobarinia, et al.
Publicado: (2021)