TY  - JOUR
T1  - Neural Network for Wave Height Prediction (Study Case: Java Sea)
AU - L. Dhanistha, Wimala AU - Pratikno, Herman AU - , Silvianita 
JO  - International Journal of System Signal Control and Engineering Application
VL  - 12
IS  - 5
SP  - 110
EP  - 115
PY  - 2019
DA  - 2001/08/19
SN  - 1997-5422
DO  - ijssceapp.2019.110.115
UR  - https://makhillpublications.co/view-article.php?doi=ijssceapp.2019.110.115
KW  - Neural network
KW  -wind speed
KW  -wave height
KW  -import-export
KW  -process data
AB  - 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.
ER  -