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Ricardo Martins Campos, Vladimir Krasnopolsky, Jose-Henrique G. M. Alves, and Stephen G. Penny

total of 65 input variables x compose the n inputs for the ANN model. The outputs y consist of three variables only (Hs, Tp, and U10; m = 3 ) from the NDBC buoys, targeted by the model. Each ANN addresses one forecast time, with the focus of Campos et al. (2017) on the fifth day, which is approximately the time when ensemble forecasts start to have better performance than deterministic forecasts, according to Alves et al. (2013) . All variables were normalized to the interval between −1

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