
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/">
  <dc:date>2023</dc:date>
  <dc:creator id="https://orcid.org/0000-0002-7450-6632 https://plus.cobiss.net/cobiss/sr/sr/conor/79412745">Jovanović, Ivana</dc:creator>
  <dc:creator id="https://orcid.org/0000-0002-4268-3626 https://plus.cobiss.net/cobiss/sr/sr/conor/55525641">Conić, Vesna</dc:creator>
  <dc:creator id="https://orcid.org/0000-0002-2003-1141 https://plus.cobiss.net/cobiss/sr/sr/conor/9261415">Sokolović, Jovica</dc:creator>
  <dc:creator id="https://orcid.org/0000-0003-3841-8667 https://plus.cobiss.net/cobiss/sr/sr/conor/59732233">Kržanović, Daniel</dc:creator>
  <dc:creator id="https://orcid.org/0000-0001-8210-8100 https://plus.cobiss.net/cobiss/sr/sr/conor/8422247">Radulović, Dragan</dc:creator>
  <dc:type>info:eu-repo/semantics/conferenceProceedings</dc:type>
  <dc:subject xml:lang="eng">Keywords: fuzzy model, flotation, copper ore.</dc:subject>
  <dc:source>Proceedings International Mineral Processing and Recycling Conference (15 ; 2023 ; Belgrade)</dc:source>
  <dc:source>startpage: 404</dc:source>
  <dc:source>endpage: 409</dc:source>
  <dc:language>eng</dc:language>
  <dc:description xml:lang="eng">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 &gt; 0.89 in all cases). There is almost no difference between the results, whether Mamdani and Takagi Sugeno fuzzy inference system is applied. </dc:description>
  <dc:identifier>https://unilib.phaidrabg.rs/o:5974</dc:identifier>
  <dc:identifier>cobiss:138251785</dc:identifier>
  <dc:identifier>ISBN: 978-86-6305-133-1</dc:identifier>
  <dc:title xml:lang="eng">Serbia Simple fuzzy models for prediction of flotation indices</dc:title>
  <dc:format>application/pdf</dc:format>
  <dc:format>1591266 bytes</dc:format>
  <dc:rights>All rights reserved</dc:rights>
</oai_dc:dc>
