Estimation of Dilution Factor for Moving Cruise Ships by Artificial Neural Networks

Author:

Şahin VolkanORCID,Bilgili Levent,Vardar Nurten

Publisher

Springer Science and Business Media LLC

Subject

Pollution,Water Science and Technology,Ecological Modeling,Environmental Chemistry,Environmental Engineering

Reference39 articles.

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2. Atkinson, E. J., & Therneau, T. M. (2000). An ıntroduction to recursive partitioning using the RPART routines. Mayo Clinic Section Biostatistics Technical Report (vol. 61). http://nova.wh.whoi.edu/palit/Atkinson, Therneau_2000_Mayo Clinic Section Biostatistics Technical Report_An Introduction to Recursive Partitioning Using the RPART Routines.pdf. Accessed 2 Feb 2022.

3. Bal Beşikçi, E., Arslan, O., Turan, O., & Ölçer, A. I. (2016). An artificial neural network based decision support system for energy efficient ship operations. Computers and Operations Research, 66(January 2013), 393–401. https://doi.org/10.1016/j.cor.2015.04.004

4. Basak, S., Okay, O., Karacik, B., Henkelmann, B., & Schramm, K. W. (2010). Complementary chemical and biological determination of dioxin-like compounds in sediments of Istanbul Strait. Fresenius Environmental Bulletin, 19(7), 1245–1253.

5. Bilgili, L. (2021). Comparative assessment of alternative marine fuels in life cycle perspective. Renewable and Sustainable Energy Reviews, 144, 110985. https://doi.org/10.1016/j.rser.2021.110985

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