Neural network with multi-trend simulating transfer function for forecasting typhoon wave

Hsien-Kuo Chang, W. A. Chien*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

19 Scopus citations

Abstract

This study develops an NN typhoon wave model to accurately and efficiently calculate wave heights at a point of interest. Multi-trend simulating transfer functions were first introduced to exemplify the relationship between wave heights and each conceivable input factor by regressive fitting. The proposed NN-MT model can accurately forecast wave peak with an error of less 1.2 m and with time delay within 3 h and can be extended to cover the station besides the original station of interest.

Original languageEnglish
Pages (from-to)184-194
Number of pages11
JournalAdvances in Engineering Software
Volume37
Issue number3
DOIs
StatePublished - 1 Jan 2006

Keywords

  • Neural network wave model
  • Peak wave height
  • Transfer function
  • Trend simulation

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