Prediction for Lateral Response of Monopiles: Deep Learning Model on Small Datasets Using Transfer Learning-Reference-Cited by-同舟云学术

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Prediction for Lateral Response of Monopiles: Deep Learning Model on Small Datasets Using Transfer Learning

Published:2024-02-22 Issue: Volume:209 Page:1-7
ISSN:
Container-title:Geo-Congress 2024
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Author:

Alduais Mohammed¹²³⁴,Hosein Taherkhani Amir¹²³⁴,Mei Qipei (Gavin)¹²³⁴,Han Fei¹²³⁴

Affiliation:

1. M.Sc. Student, Dept. of Civil and Environmental Engineering, Univ. of Alberta, Edmonton, AB.

2. Ph.D. Student, Dept. of Civil and Environmental Engineering, Univ. of New Hampshire, Durham, NH.

3. Assistant Professor, Dept. of Civil and Environmental Engineering, Univ. of Alberta, Edmonton, AB.

4. Assistant Professor, Dept. of Civil and Environmental Engineering, Univ. of New Hampshire, Durham, NH.

Publisher

American Society of Civil Engineers

Link

https://ascelibrary.org/doi/pdf/10.1061/9780784485323.001

Reference21 articles.

1. A State-of-the-Art Survey on Deep Learning Theory and Architectures

2. PISA: new design methods for offshore wind turbine monopiles

3. Review of the current status, technology and future trends of offshore wind farms;Díaz H.;Ocean Engineering,2020

4. Performance Analysis of Various Activation Functions in Artificial Neural Networks;Feng J.;Journal of Physics: Conference Series,2019

5. Neocognitron: A hierarchical neural network capable of visual pattern recognition;Fukushima K.;Neural Networks,1988

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