o:5974 Serbia Simple fuzzy models for prediction of flotation indices en Abstract: This paper presents the development and validation of two simple copper flotation models based on fuzzy logic (Mamdani and Takagi-Sugeno fuzzy inference system). Given that the Cu flotation process contains a large number of variables (especially inputs), models are called simple, because they contain only three input and three output variables. Input variables are feed grade, collector consumption in the roughing stage and overall frother consumption. Output variables are final concentrate grade and recovery as well as final tailings grade. The training and evaluation of the proposed models were accomplished on the basis of real process data from the industrial flotation plant of “Veliki Krivelj Mine”. The results showed that the proposed fuzzy models well describe the behavior of the industrial flotation plant in a wide range of circumstances (correlation coefficient R > 0.89 in all cases). There is almost no difference between the results, whether Mamdani and Takagi Sugeno fuzzy inference system is applied. Keywords: fuzzy model, flotation, copper ore. 91552100 138251785 1552100 978-86-6305-133-1 2024-11-02T22:07:49.387Z 44 no 46 Ivana Jovanović Institut za rudarstvo i metalurgiju Bor 79412745 0000-0002-7450-6632 2023 46 Vesna Conić Institut za rudarstvo i metalurgiju Bor 55525641 0000-0002-4268-3626 2023 46 Jovica Sokolović Tehnički fakultet u Boru, Univerzitet u Beogradu 9261415 0000-0002-2003-1141 2023 46 Daniel Kržanović Institut za rudarstvo i metalurgiju Bor 59732233 0000-0003-3841-8667 2023 46 Dragan Radulović Institut za tehnologiju nuklearnih i drugih mineralnih sirovina „ITNMS“ 8422247 0000-0001-8210-8100 2023 application/pdf 1591266 https://unilib.phaidrabg.rs/o:5974 no yes 1 70 622.7(497.11) 92000004 71A03 Proceedings International Mineral Processing and Recycling Conference (15 ; 2023 ; Belgrade) 404 409 2023