Artificial Neural Networks for the forecasting of wave climate in proximity of harbour area
Author:
Affiliation:
1. University of Catania,Via Santa Sofia, 64,Department of Civil Engineering and Architecture,Catania,95123
2. University of Messina,Department of Engineering,Contrada di Dio,S. Agata,98166
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9967443/9967445/09967544.pdf?arnumber=9967544
Reference19 articles.
1. A hybrid approach to estimate the nearshore wave characteristics in the Persian Gulf
2. Phasere-solved wave prediction model for long-crest waves based on machine learning;duan;Computer Methods in Applied Mechanics and Engineering,2020
3. The performance and optimization of ANN-WP model under unknown sea states
4. Artificial neural network-based storm surge forecast model: Practical application to Sakai Minato, Japan
5. Surrogate modeling of time-dependent metocean conditions during hurricanes;qiao;Natural Hazards,2021
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1. Calibration of a Clustering Algorithm to Improve the Nearshore Wave Prediction System;2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE);2023-10-25
2. Evaluation of a clustering algorithm to enhance the nearshore wave prediction system;2023 IEEE International Workshop on Metrology for the Sea; Learning to Measure Sea Health Parameters (MetroSea);2023-10-04
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