@article{MAKHILLJEAS2019141518145,
    title = {Optimize Neural Network for Maritime Weather},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {14},
    number = {15},
    pages = {5064-5071},
    year = {2019},
    issn = {1816-949x},
    doi = {jeasci.2019.5064.5071},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2019.5064.5071},
    author = {Wimala,Herman and},
    keywords = {High waves,wind speed,artificial neural network,transportation,artificial,predictors},
    abstract = {<p>Indonesia is an archipelagic country a more reliable transportation is a type of sea transportation. One
of the obstacles in transportation is that 38% of the causes of marine accidents are high-wave natural disasters
caused by wind speeds. The higher the wind speed, the higher the wave will occur. Artificial neural networks
are artificial intelligence that can be used to predict high waves. These neural networking advantages can be
used for nonlinear systems. Neural networks can be used as high-wave predictors to predict the wave height
of the last few hours to come.</p>}
    }