A factor mining model with optimized random forest for concrete dam deformation monitoring

• Published in: Water Science and Engineering Vol. 14; no. 4; pp. 330 - 336
• Main Authors: Gu, Hao, Yang, Meng, Gu, Chong-shi, Huang, Xiao-fei
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.12.2021; Elsevier
• Subjects: algorithms; Concrete dam; deformation; Evaluation; evolution; Influencing factors; Mining method; prediction; Random forest; water; Evaluation; Random forest; Influencing factors; Mining method; Concrete dam

The unique structure of a dam complicates safety monitoring. Deformation can provide important information about dam evolution. In contrast to model prediction, actual dam response monitoring data can be used for diagnosis and early warning. Given the poor data mining ability of the conventional met...