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

Additional Metadata
Thesis Advisor	Albert Veenstra
Persistent URL	hdl.handle.net/2105/69526
Series	Maritime Economics and Logistics
Organisation	Erasmus School of Economics
Citation APA APA Style APA-ALL Style AAA 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). Feasibility Study of Adaptive Neuro-Fuzzy Inference System with Genetic Algorithms and Particle Swarm Optimizations in Predicting Baltic Exchange Dirty Tanker Index. In Maritime Economics and Logistics.http://hdl.handle.net/2105/69526

Publication