Sensitivity analysis of parameters governing the iceberg draft through neural network-based models

被引：0
|
作者：
Hamed Azimi
Hodjat Shiri
Masoud Mahdianpari
机构：
[1] Memorial University of Newfoundland,Civil Engineering Department, Faculty of Engineering and Applied Science
[2] Memorial University of Newfoundland,Department of Electrical and Computer Engineering, Faculty of Engineering and Applied Science
[3] C-CORE,undefined
来源：
Journal of Ocean Engineering and Marine Energy | 2023年 / 9卷
关键词：
Artificial neural network; Machine learning; Iceberg Draft; Subsea assets; Sensitivity analysis; Self-adaptive evolutionary extreme learning machine; Extreme learning machine;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：587 / 602
页数：15
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