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
相关论文
共 50 条
  • [1] Sensitivity analysis of parameters governing the iceberg draft through neural network-based models
    Azimi, Hamed
    Shiri, Hodjat
    Mahdianpari, Masoud
    JOURNAL OF OCEAN ENGINEERING AND MARINE ENERGY, 2023, 9 (04) : 587 - 602
  • [2] Sensitivity analysis for comparison, validation and physical legitimacy of neural network-based hydrological models
    Dawson, C. W.
    Mount, N. J.
    Abrahart, R. J.
    Louis, J.
    JOURNAL OF HYDROINFORMATICS, 2014, 16 (02) : 407 - 424
  • [3] Neural Network Based Sensitivity Analysis of Natural Resource Models
    Kralisch, S.
    Fink, M.
    Beckstein, C.
    MODSIM 2005: INTERNATIONAL CONGRESS ON MODELLING AND SIMULATION: ADVANCES AND APPLICATIONS FOR MANAGEMENT AND DECISION MAKING: ADVANCES AND APPLICATIONS FOR MANAGEMENT AND DECISION MAKING, 2005, : 2498 - 2504
  • [4] Data-driven multi-objective optimization with neural network-based sensitivity analysis for semiconductor devices
    Oh, Min-Hye
    Lee, Kitae
    Kim, Sihyun
    Park, Byung-Gook
    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2023, 117
  • [5] Artificial Neural Network-Based Serum Biomarkers Analysis Improves Sensitivity in the Diagnosis of Lung Cancer
    Flores, J. M.
    Herrera, E.
    Leal, G.
    Gonzalez, M. G.
    Sanchez, F.
    Rojas, A.
    Cabrera, P. A.
    Femat, R.
    Martinez-Velazquez, M.
    5TH LATIN AMERICAN CONGRESS ON BIOMEDICAL ENGINEERING (CLAIB 2011): SUSTAINABLE TECHNOLOGIES FOR THE HEALTH OF ALL, PTS 1 AND 2, 2013, 33 (1-2): : 882 - 885
  • [6] Optimizing Artificial Neural Network-Based Models to Predict Rice Blast Epidemics in Korea
    Lee, Kyung-Tae
    Han, Juhyeong
    Kim, Kwang-Hyung
    PLANT PATHOLOGY JOURNAL, 2022, 38 (04) : 395 - 402
  • [7] Sensitivity Analysis Based on Neural Network for Optimizing Device Characteristics
    Oh, Min-Hye
    Kwon, Min-Woo
    Park, Kyungchul
    Park, Byung-Gook
    IEEE ELECTRON DEVICE LETTERS, 2020, 41 (10) : 1548 - 1551
  • [8] Variation-Aware SRAM Cell Optimization Using Deep Neural Network-Based Sensitivity Analysis
    Kwon, Hyunjeong
    Kim, Daeyeon
    Kim, Young Hwan
    Kang, Seokhyeong
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, 2021, 68 (04) : 1567 - 1577
  • [9] Physical interpretation of neural network-based nonlinear eddy viscosity models
    Zhang, Xin-Lei
    Xiao, Heng
    Jee, Solkeun
    He, Guowei
    AEROSPACE SCIENCE AND TECHNOLOGY, 2023, 142
  • [10] Artificial neural network-based roughness prediction models for gravel roads considering land use
    Abu Daoud, Osama
    Ksaibati, Khaled
    INNOVATIVE INFRASTRUCTURE SOLUTIONS, 2022, 7 (03)
12345