Prediction of high-embankment settlement combining joint denoising technique and enhanced GWO-ν-SVR method

Prediction of high-embankment settlement combining joint denoising technique and enhanced GWO-ν-SVR method

Reliable long-term settlement prediction of a high embankment relates to mountain infrastructure safety. This study developed a novel hybrid model (NHM) that combines a joint denoising technique with an enhanced gray wolf optimizer (EGWO)-ν-support vector regression (ν-SVR) method. High-embankment f...

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书目详细资料
Main Authors: Qi Zhang, Qian Su, Zongyu Zhang, Zhixing Deng, De Chen
格式: 文件
语言:English
出版: Elsevier 2024-01-01
丛编:Journal of Rock Mechanics and Geotechnical Engineering
主题:
High embankment
Settlement prediction
Joint denoising technique
Enhanced gray wolf optimizer
Support vector regression
在线阅读:http://www.sciencedirect.com/science/article/pii/S1674775523002408

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http://www.sciencedirect.com/science/article/pii/S1674775523002408

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