o:1656 Optimalno prepoznavanje i lokalizacija izvora zvuka primenom metoda veštačke inteligencije Optimal recognition and localization of acoustic source using artificial intelligence methods : doctoral dissertation sr Тhe subject of the thesis is sound source recognition and sound source localization, in real conditions, using artificial intelligence algorithms. The main goal is optimal procedure for sound source observation using artificial neural networks for signal procesing, because of their extreme procesing speed. It has to provide implementation of hybrid system capable to recognize and locate sound source in the presence of disturbances. For the training and the testing of neural networks two sets of data are provided, from two different experiments, and to increase robustness genetic algorithm is applied. The results of the investigation will contribute the existing body of acoustic observation knowledge. Biografija autora: list 165;Bibliografija: listovi 154-164. Datum odbrane: 14.02.2020. Automatic control and robotics 13554185 91552101 7510 91552100 13554185 2020-08-11T16:08:13.053Z 45 no 46 mentor Marko 1974- Kovandžić 2020 63 mentor Vlastimir 1954- Nikolić 2020 63 član komisije Dragan 1963- Antić 2020 63 član komisije Žarko 1968- Ćojbašić 2020 63 član komisije Miloš 1973- Simonović 2020 63 član komisije Ivan 1980- Ćirić 2020 [17], 165 listova 14450068 http://phaidrabg.bg.ac.rs/o:1656 no yes 2 2020-08-11T16:08:13.320Z 70 Veštačka inteligencija, Akustična opservacija, Akustično prepoznavanje, Prepoznavanjeobrazaca, Neuronske mreže, Evolucioni račun Artificial intelligence, Acoustic perception, Acoustic recognition, Pattern recognition, Neuralnetworks, Evolutionary algorithm 007.52:519.8]:004.8.032.26:534.88(043.3) T 125 1738 18A04 18A0401 2020