Application of artificial neural networks in the estimation of technological process parameters

U ovom diplomskom radu općenito su opisani pojmovi vezani uz umjetnu inteligenciju, navedene su metode umjetne inteligencije, te su ukratko objašnjene. U softveru NeuroIntelligence tvrtke Alyuda prikazan je primjer primjene umjetnih neuronskih mreža za predviđanje parametara hrapavosti i trošenja rezne pločice na osnovi ulaznih podataka posmaka, brzine rezanja i dubine rezanja. Pored toga, opisana je optimizacija obradnih procesa, te je prikazan jedan optimizacijski primjer parametara obrade.In this thesis, the concepts of artificial intelligence are described in general, the methods of artificial intelligence are listed, and they are briefly explained. Alyuda's NeuroIntelligence software shows an example of the application of artificial neural networks to predict cutting inserts roughness and wear parameters based on feed input data, cutting speed and cutting depth. In addition, the optimization of machining processes is briefly described, and one optimization example of machining parameters is presented