Coastal Structures and Solutions to Coastal Disasters Joint Conference 2015
An Advanced and Improved Artificial Neural Network for the Prediction of Wave Overtopping
Publication: Coastal Structures and Solutions to Coastal Disasters 2015: Resilient Coastal Communities
ABSTRACT
This paper focuses on new methods that have been implemented and tested in the artificial neural network (ANN) recently developed by the authors to predict the wave overtopping discharge. An improved representation of the non-significant wave overtopping conditions can be obtained by extending the training database of the existing ANN to include all the non-zero values. The modification of the ANN architecture by the set-up of a classifier-quantifier scheme to improve the prediction of both low and high values of the overtopping is also investigated and discussed. The accuracy of the improved ANN is finally verified through the prediction of new datasets.
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ACKNOWLEDGEMENTS
The support of the European Commission through FP7.2009-1, Contract 244104, THESEUS (www.theseusproject.eu), is gratefully acknowledged.
REFERENCES
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Published In
Coastal Structures and Solutions to Coastal Disasters 2015: Resilient Coastal Communities
Pages: 719 - 730
Editors: Louise Wallendorf, U.S. Naval Academy and Daniel T. Cox, Ph.D., Oregon State University
ISBN (Online): 978-0-7844-8030-4
Copyright
© 2017 American Society of Civil Engineers.
History
Published online: Jul 11, 2017
Published in print: Jul 11, 2017
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