CC-BY-NC-NDNikolić, VladimirTrumić, MilanTanikić, Dejan2024-01-222024-01-222023978-86-6305-133-1https://imprc.tfbor.bg.ac.rs/download/IMPRC_2023_Proceedings.pdfhttps://repozitorijum.tfbor.bg.ac.rs/handle/123456789/5804The aim of the experiment was to determine the optimal grinding conditions for obtaining a powder with appropriate physico-chemical and microstructural characteristics that would find its potential application as a binder and ion exchanger in structural composites. The analysis of certain classes of zeolite size after micronization was performed through grinding kinetics. An artificial neural network was developed based on the obtained results, and then compared with the obtained experimental results.enZeoliteMicronizing GrindingSpecific SurfaceArtificial Neural NetworksOptimization of micronizing zeolite grinding using artificial neural networksconferenceObject