Umucu, YakupÇağlar, Mehmet FatihGündüz, LütfullahBozkurt, VolkanDeniz, Vedat2019-05-132019-05-132011Umucu, Y., Çağlar, M. F., Gündüz, L., Bozkurt, V., Deniz, V. (2011). Modeling of grinding process by artificial neural network for calcite mineral. In 2011 International Symposium on Innovations in Intelligent Systems and Applications. INISTA 2011, 15 June 2011 through 18 June 2011, Istanbul-Kadikoy.9781612849195https://doi.org/10.1109/INISTA.2011.5946142https://hdl.handle.net/11491/20972011 International Symposium on INnovations in Intelligent SysTems and Applications, INISTA 2011, 15 June 2011 through 18 June 2011, Istanbul-KadikoyThe grindability properties of calcite sample belong to Afyonkarahisar region were investigated at batch grinding conditions based on a kinetic model. The obtained kinetic model parameters were used to estimate the product size distribution by artificial neural networks (ANN). Then, the experimental and neural network prediction results are compared. © 2011 IEEE.eninfo:eu-repo/semantics/closedAccessBall MillGrindingModelingNeural NetworkConference Object34434810.1109/INISTA.2011.5946142N/A