Simulated wave-driven ANN model for typhoon waves

Hsien-Kuo Chang, Jin Cheng Liou*, Shen Jung Liu, Shyne Ruey Liaw

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

15 Scopus citations


This paper investigates an artificial neural network (ANN) model for typhoon waves used to modify poor calculations of the numerical model in special cases. Two key factors, local winds and simulated waves produced by the numerical model, were used as input parameters of the proposed ANN model. The waves were simulated by the numerical model from a wave action equation indicating the physical processes of energy transfer and wave propagation. Simulated wave input is a very important parameter for the proposed ANN model, allowing for the accurate calculation of water waves in the sea. The applicable Mike21-SW model was chosen to provide an accurate calculation. Through model verification, the proposed ANN model has a particularly accurate calculation at the peak of each typhoon and at its occurrence time. The computed waves of each typhoon were examined to be consistent with the observed waves.

Original languageEnglish
Pages (from-to)25-34
Number of pages10
JournalAdvances in Engineering Software
Issue number1-2
StatePublished - 1 Jan 2011


  • Artificial neural network
  • Hybrid wave model
  • NCEP wind field
  • Typhoon waves
  • Vortex wind model

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