Chapter
Apr 26, 2012
Analysis of Wave Transmission Behind Low-Crested Structures Using Neural Networks
Authors: Andrea Panizzo, Ph.D., Riccardo Briganti, Ph.D., Jentsje van der Meer, and Leopoldo FrancoAuthor Affiliations
Publication: Coastal Structures 2003
Abstract
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.
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Published In
Coastal Structures 2003
Pages: 555 - 566
Copyright
© 2004 American Society of Civil Engineers.
History
Published online: Apr 26, 2012
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Authors
Affiliations
Andrea Panizzo, Ph.D.
Student, DISAT, Univ. of L'Aquila, 67040 Monteluco d Roio, AQ
Riccardo Briganti, Ph.D.
Student, DSIC, Univ. of Rome III, 00146 Roma
Jentsje van der Meer
Dr, Infram, PO Box 81,3890 AB Zeewolde, NL
Leopoldo Franco
Professor, DSIC, Univ. of Rome III, Roma, 00146 Roma
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ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.
Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.