Instantaneous 2D extreme wind speed prediction using the novel Wind Gust Prediction Net based on purely convolutional neural mechanism-Reference-Cited by-同舟云学术

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Instantaneous 2D extreme wind speed prediction using the novel Wind Gust Prediction Net based on purely convolutional neural mechanism

Published:2024-01-31 Issue:1 Volume:18 Page:
ISSN:1994-2060
Container-title:Engineering Applications of Computational Fluid Mechanics
language:en
Short-container-title:Engineering Applications of Computational Fluid Mechanics

Author:

Zhang Zeguo¹,Yin Jianchuan¹

Affiliation:

1. Department Naval Architecture and Shipping College, Guangdong Ocean University, Zhanjiang, People’s Republic of China

Funder

National Natural Science Foundation of China

Special Projects of Key Areas for Colleges and Universities

Natural Science Foundation of Guangdong Province of China

Technology breakthrough plan project of Zhanjiang

Guangdong Ocean University

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/19942060.2024.2305318

Reference88 articles.

1. A Novel Approach to Uncertainty Quantification in Groundwater Table Modeling by Automated Predictive Deep Learning

2. A review of uncertainty quantification in deep learning: Techniques, applications and challenges

3. Agresti, A. (2018). Statistical methods for the social sciences (5th ed.). Pearson.

4. Updating the neural network sediment load models using different sensitivity analysis methods: a regional application

5. The economics of wave energy: A review

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