Multi-point tidal prediction using artificial neural network with tide-generating forces [An article from: Coastal Engineering]
Book Details
Author(s)H.K. Chang, L.C. Lin
PublisherElsevier
ISBN / ASINB000P6XKBU
ISBN-13978B000P6XKB6
AvailabilityAvailable for download now
MarketplaceUnited States 🇺🇸
Description
This digital document is a journal article from Coastal Engineering, published by Elsevier in 2006. The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.
Description:
This paper presents a neural network model of simulating tides at multi-points considering tide-generating forces. A comparison on the root mean square and correlation coefficient of three-year mixed tides at a single point computed with harmonic method, response-orthotide method, the NAO.99b model and the proposed model was made to show the prediction accuracy of each method. The proposed model is examined efficient as the harmonic method to estimate the tides at a single point. Extended application of the proposed model to predicting tides at some points neighboring to an original interest point identifies accurately simulating multi-point tides as the NAO.99b numerical model.
Description:
This paper presents a neural network model of simulating tides at multi-points considering tide-generating forces. A comparison on the root mean square and correlation coefficient of three-year mixed tides at a single point computed with harmonic method, response-orthotide method, the NAO.99b model and the proposed model was made to show the prediction accuracy of each method. The proposed model is examined efficient as the harmonic method to estimate the tides at a single point. Extended application of the proposed model to predicting tides at some points neighboring to an original interest point identifies accurately simulating multi-point tides as the NAO.99b numerical model.
