Artificial neural networks in wave predictions at the west coast of Portugal
MetadataShow full item record
Makarynskyy, Oleg and Pires Silva, Antonio A and Makarynska, Dina and Ventura Soares, Carlos (2005) Artificial neural networks in wave predictions at the west coast of Portugal 31(4):415-424.
The link to this article is:
Copyright 2004 Elsevier B.V. All rights reserved
In coastal and open ocean human activities, there is an increasing demand for accurate estimates of future sea state. In these activities, predictions of wave heights and periods are of particular importance. In this study, two different neural network strategies were employed to forecast significant wave heights and zero-up-crossing wave periods 3, 6, 12 and 24 h in advance. In the first approach, eight simple separate neural nets were implemented to simulate every wave parameter over each prediction interval. In the second approach, only two networks provided simultaneous forecasts of these wave parameters for the four prediction intervals. Two independent sets of measurements from a directional wave buoy moored off the Portuguese west coast were used to train and to validate the artificial neural nets. Saliency analysis of the results permitted an optimization of the networks' architectures. The optimal learning algorithm for each case was also determined. The short-term forecasts of the wave parameters verified by actual observations demonstrate the suitability of the artificial neural technique.
Showing items related by title, author, creator and subject.
Makarynskyy, Oleg; Makarynska, D.; Rusu, E.; Gavrilov, Alexander (2005)This contribution presents a neural data interpolation methodology, which was implemented to restore missing wave measurements. The methodology is based on the ability of artificial neural networks to find and reproduce ...
Sinaice, Brian; Kawamura, Youhei; Kim, Jaewon; Okada, Natsuo; Kitahara, Itaru; Jang, Hyong Doo (2019)Hyperspectral imaging has been applied in remote sensing amongst other disciplines, success in these has triggered its extensive use. Hence, it comes as no surprise that we took advantage of this technology by conducting ...
Prediction of shear wave velocity from petrophysical data utilizing intelligent systems: An example from a sandstone reservoir of Carnarvon Basin, AustraliaRezaee, M. Reza; Kadkhodaie Ilkhchi, A.; Barabadi, A. (2007)Shear wave velocity associated with compressional wave velocity can provide the accurate data for geophysical study of a reservoir. These so called petroacoustic studies have important role in reservoir characterization ...