SURFACE GEOSTROPHIC CURRENT PREDICTION IN INDONESIA WITH ARTIFICIAL NEURAL NETWORKS

This research conducts daily geostrophic current speed predictions to determine the performance of the machine learning method used. The prediction is made for next five days with a training data range from January 1, 2013 to December 31, 2018 within Indonesian region and verification data is within...

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Bibliographic Details
Main Author: Nadhif Taher Ahmad, Muhammad
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/71169
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Institution: Institut Teknologi Bandung
Language: Indonesia
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