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Arctic tern-optimized weighted feature regression system for predicting bridge scour depth
Engineering Applications of Computational Fluid Mechanics ( IF 5.9 ) Pub Date : 2024-07-08 , DOI: 10.1080/19942060.2024.2364745
Jui-Sheng Chou, Asmare Molla

This paper presents a pioneering artificial intelligence (AI) solution – the Arctic Tern-Optimized Weighted Feature Least Squares Support Vector Regression (ATO-WFLSSVR) system to aid civil enginee...

中文翻译:


用于预测桥梁冲刷深度的 Arctic tern 优化加权特征回归系统



本文提出了一种开创性的人工智能 (AI) 解决方案——Arctic Tern 优化加权特征最小二乘支持向量回归 (ATO-WFLSSVR) 系统,以帮助土木工程...
更新日期:2024-07-08
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