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

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.