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Analysis of Wave Transmission Behind Low-Crested Structures Using Neural Networks
The paper aims to improve the prediction of wave transmission behind low-crested rubble mound breakwaters by employing artificial neural networks. Data from physical experiments on rubble mound low-crested structures have been gathered within the European research program DELOS and this dataset has been used. The present work demonstrates that the neural network approach is able to improve the results compared to classical formulations in the prediction of the wave transmission coefficient as a function of both hydraulic and structural parameters.
Analysis of Wave Transmission Behind Low-Crested Structures Using Neural Networks
The paper aims to improve the prediction of wave transmission behind low-crested rubble mound breakwaters by employing artificial neural networks. Data from physical experiments on rubble mound low-crested structures have been gathered within the European research program DELOS and this dataset has been used. The present work demonstrates that the neural network approach is able to improve the results compared to classical formulations in the prediction of the wave transmission coefficient as a function of both hydraulic and structural parameters.
Analysis of Wave Transmission Behind Low-Crested Structures Using Neural Networks
Panizzo, Andrea (author) / Briganti, Riccardo (author) / van der Meer, Jentsje (author) / Franco, Leopoldo (author)
Coastal Structures 2003 ; 2003 ; Portland, Oregon, United States
Coastal Structures 2003 ; 555-566
2004-09-28
Conference paper
Electronic Resource
English
Analysis of Wave Transmission Behind Low-Crested Structures Using Neural Networks
British Library Conference Proceedings | 2004
|Wave Transmission Behind Low-Crested Structures
British Library Conference Proceedings | 2004
|Analysis of wave transmission behind low-crested breakwaters using neural networks
Online Contents | 2007
|Analysis of wave transmission behind low-crested breakwaters using neural networks
British Library Online Contents | 2007
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