International Journal of Signal System Control and Engineering Application

Year: 2019
Volume: 12
Issue: 5
Page No. 110 - 115

Neural Network for Wave Height Prediction (Study Case: Java Sea)

Authors : Wimala L. Dhanistha, Herman Pratikno and Silvianita

Abstract: Global market in Indonesia to rely on marine transportation to distribute commodity import-export. One of the obstacles on the path to the sea is a wave heights, the wave can cause in accidents sea that the ship sank. To minimize accidents, this study will make a neural network algorithm to predict wave heights in the next hour. The advantages of this neural network that has a black box that can process data input and output. The prediction results show that the neural network has small’s RMSE.

How to cite this article:

Wimala L. Dhanistha, Herman Pratikno and Silvianita , 2019. Neural Network for Wave Height Prediction (Study Case: Java Sea). International Journal of Signal System Control and Engineering Application, 12: 110-115.

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