Modeling and optimization of coal oil agglomeration using response surface methodology and artificial neural network approaches

The Differences in Evaluation of Flotation Kinetics of Talc Ore Using Statistical Analysis and Response Surface Methodology

“…A more robust statistical approach was employed in order to more deeply understand the effects of the investigated factors, mainly the effect of SHMP on separation efficiency. Seeing that several previous papers aimed at optimization of froth flotation performance have successfully used the response surface methodology [25,[32][33][34], we opted for the same approach.…”

Optimizing foam mat drying process for cornelian cherry pulp using response surface methodology and artificial neural networks

“…Neural networks are software programs designed to simulate and represent the relationship between process factors and targeted outputs. They can model complex, nonlinear relationships directly from raw experimental data (Silva et al, 2020;Yadav et al, 2017). Limited research has been conducted on ANN modeling in the FMD process, including passion fruit (Samyor et al, 2021) and papaya (Qadri et al, 2020).…”

On the use of Na₂SO₃ as a pyrite depressant in saline systems and the presence of kaolinite

“…Therefore, the use of ANNs has been proposed as a good alternative to PMs in mineral processing (Lucay et al, 2020). Several other works have shown that ANNs are an adequate tool for RSM (Arias et al, 2020(Arias et al, , 2018Xiao and Zhu, 2010;Yadav et al, 2018Yadav et al, , 2017Zulfiqar et al, 2019). Thus, this work aimed to study the use of Na2SO3 as a pyrite depressant in the presence of chalcopyrite and kaolinite in saline media of NaCl and KCl.…”