Feasibility Study of Adaptive Neuro-Fuzzy Inference System with Genetic Algorithms and Particle Swarm Optimizations in Predicting Baltic Exchange Dirty Tanker Index

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Thesis Advisor	Albert Veenstra
Persistent URL	hdl.handle.net/2105/69526
Series	Maritime Economics and Logistics
Organisation	Erasmus School of Economics
Citation APA Style AAA Style APA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	Priyanto, Muhammad. (2023, September 18). Feasibility Study of Adaptive Neuro-Fuzzy Inference System with Genetic Algorithms and Particle Swarm Optimizations in Predicting Baltic Exchange Dirty Tanker Index. Maritime Economics and Logistics. Retrieved from http://hdl.handle.net/2105/69526

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