Multi-point tidal prediction using artificial neural network with tide-generating forces

Hsien-Kuo Chang*, Li Ching Lin

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

49 Scopus citations


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.

Original languageEnglish
Pages (from-to)857-864
Number of pages8
JournalCoastal Engineering
Issue number10
StatePublished - 1 Sep 2006


  • Harmonic method
  • Neural networks
  • Tide-generating forces
  • Tides

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