Extreme Learning Machine for Hourly Water Level Forecast in Madura Coastal Area
Imam Wahyudi Farid, Eko Salaudin, Saka Bimantara, Aurelya Nabila Putri, Rahma Alya Nurfathia, Mokhamad Nur Cahyadi · 2022
Water level forecasting is an essential thing for PT. Garam. This is closely related to the position of the sluice gate to enter raw materials for making salt. Therefore, placing water gates in the coastal area is essential in maximizing the incoming raw materials. Extreme learning machine (ELM) is used to get the maximum water level forecasting value in hourly period. In this study, data distribution is the main point that is the focus of the discussion. The MSE and RMSE values are calculated to get minor deals for the training and testing processes. The most significant results obtained for the two statistical errors are 0.1141 and 0.3377.