SHIP WASTE FORECASTING AT THE BOTAS LNG PORT USING ARTIFICIAL NEURAL NETWORKS
Küçük Resim Yok
Tarih
2008
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Parlar Scientific Publications (P S P)
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Cargo and passenger vessels are required to give their waste to reception facilities when at port, and due to new regulations Turkish ports need to establish or reconstruct these facilities. It is thus very important for ports to be able to predict the quantity of waste. In this study, the authors use Artificial Neural Networks (ANNs) to model four years of data on the reception of ship's waste at the Botas LNG Port in Marmara Ereglisi, Turkey. Satisfactory results are obtained by the ANN outputs. and confirmed by classical approaches. This ANN forecasting model can be used by waste management companies to plan new ports.
Açıklama
Anahtar Kelimeler
Marine pollution, wavelets, neural networks, forecasting, garbage, waste
Kaynak
Fresenius Environmental Bulletin
WoS Q Değeri
Q4
Scopus Q Değeri
Cilt
17
Sayı
12A
