Prediction and Monitoring Model of Concrete Dam Deformation Based on WOA-RFR
The random forest algorithm and whale optimization algorithm were introduced in the construction of the prediction model of concrete dam deformation based on WOA-RFR to improve the prediction accuracy and model performance. The random forest model belonging to the machine learning algorithm has many...
Saved in:
Main Authors: | FENG Yu, WU Yunxing, GU Wenjing, PANG Qiong, GU Yanchang, CHEN Siyu |
---|---|
Format: | Article |
Language: | zho |
Published: |
Editorial Office of Pearl River
2024-07-01
|
Series: | Renmin Zhujiang |
Subjects: | |
Online Access: | http://www.renminzhujiang.cn/thesisDetails#10.3969/j.issn.1001-9235.2024.07.014 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Monitoring Model of Concrete Dam Deformation Based on Gray Wolf Optimization Algorithm
by: CHEN Shuyun, et al.
Published: (2021-01-01) -
Determination of Dam Deformation Safety Monitoring Index Based on Improved Typical Small Probability Method
by: ZHOU Wenzhong, et al.
Published: (2020-01-01) -
Processing Method of Missing Monitoring Data of Concrete Dam Deformation Based on GRU
by: ZHAI Junjie, et al.
Published: (2024-12-01) -
Research on Slope Angle of Base for Asphalt-Concrete Core Dam
by: FAN Dongyang, et al.
Published: (2023-01-01) -
Analysis of Deformation Characteristics of Face Rockfill Dam with Crest Overflow in Feigu Reservoir During Operation
by: ZHAO Zejin, et al.
Published: (2022-01-01)