Influence of different Machine learning algorithms on Prediction Model of Fuel Consumption of Inland Ships

Author:

Zhao Shibo1,Yin Qizhi2,Chen Xing1,Zhao Fuqin3,Zhao Kuikui4,Zheng Jie5

Affiliation:

1. School of Naval Architecture, Wuhan University of Technology,Ocean and Energy Power Engineering,Wuhan,China

2. School of Transportation and Logistics Engineering, Wuhan University of Technology,Wuhan,China

3. Weichai Heavy Machinery Co, Ltd.,Weifang,China

4. Weichai Power Co, Ltd.,Weifang,China

5. Chongqing Vessel Survey Center,Chongqing,China

Publisher

IEEE

Reference16 articles.

1. Fuel consumption prediction of fleet vehicles using Machine Learning: A comparative study

2. Applying Multi-Class Support Vector Machines for performance assessment of shipping operations: The case of tanker vessels

3. Machine learning approach to ship fuel consumption: A case of container vessel;uyamk;Transportation Research Part D Transport and Environment,2020

4. The elements of statistical learning;friedman;New York Springer Series in Statistics,2001

5. The distance function effect on k-nearest neighbor classification for medical datasets

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