Assessment of Ice–Seabed Interaction Process in Clay Using Extreme Learning Machine
Author:
Publisher
International Society of Offshore and Polar Engineers
Subject
Mechanical Engineering,Ocean Engineering,Civil and Structural Engineering
Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Sensitivity analysis of parameters governing the iceberg draft through neural network-based models;Journal of Ocean Engineering and Marine Energy;2023-05-03
2. Modeling triangular, rectangular, and parabolic weirs using weighted robust extreme learning machine;Applied Water Science;2023-02-03
3. Non-tuned single-layer feed-forward neural network learning machine—coding and implementation;Machine Learning in Earth, Environmental and Planetary Sciences;2023
4. Iceberg-seabed interaction analysis in sand by a random forest algorithm;Polar Science;2022-12
5. Robust Extreme Learning Machine for estimation of triangular, rectangular, and parabolic weirs;Flow Measurement and Instrumentation;2022-12
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