Prediction of oil sorption capacity on carbonized mixtures of shungite using artificial neural networks

HIGHLIGHTS

• who: Vasile-Mircea Cristea and collaborators from the Faculty of Chemistry and Chemical Engineering, Babes-Bolyai University, Arany Janos have published the research work: Prediction of Oil Sorption Capacity on Carbonized Mixtures of Shungite Using Artificial Neural Networks, in the Journal: Processes 2023, 11, x FOR PEER REVIEW of /2023/
• what: The aim of this work was to build artificial neural_network models and test their aptitude to predict the oil sorption capacity of the mixture consisting of carbonized rice husk and shungite from the Koksu deposit of the Republic of Kazakhstan, targeting the cleaning of . . .
  

   

  

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