@article{MAKHILLIJSSCEA201912528815,
    title = {Neural Network for Wave Height Prediction (Study Case: Java Sea)},
    journal = {International Journal of System Signal Control and Engineering Application},
    volume = {12},
    number = {5},
    pages = {110-115},
    year = {2019},
    issn = {1997-5422},
    doi = {ijssceapp.2019.110.115},
    url = {https://makhillpublications.co/view-article.php?issn=1997-5422&doi=ijssceapp.2019.110.115},
    author = {Wimala,Herman and},
    keywords = {Neural network,wind speed,wave height,import-export,process data},
    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.}
    }