Introduction to Artificial Neural Networks
Track
Artificial inteligence
Date and time
Thursday, 19. October 2023., 11:55
Room
Hall D
Duration
45'
Artificial neural networks are today a key element of many artificial intelligence systems. The architecture of artificial neural networks is motivated by biological neural networks. Basic architectures and learning methods of artificial neural networks are presented. Learning an artificial neural network is based on exposure to large amounts of data. After learning, artificial neural networks can be used for recognition of spatial and spatio-temporal patterns, data clustering and data classification. Training of artificial neural networks is demonstrated on several examples using suitable specialized free programs. Artificial neural networks have numerous practical applications.
Lecture details
About speaker
Dubravko Miljković, author
Dubravko Miljković holds a Dipl. Ing., Mr. Sc. and Dr. Sc. degree from Faculty of Electrical Engineering and Computing, Zagreb, Croatia. He has spent 14 months specializing speech recognition at the University of Cambridge, UK. After returning from the UK, he was employed in Croatian Measurement Society and a private company. At present, he is with Hrvatska elektroprivreda (Croatian Electricity Company) working on redundant systems (network load balancing clusters of application servers) using Oracle technology. Dr. Miljković is author of more than eighty scientific and professional papers. He has attended and contributed at around frothy scientific and professional conferences and is a member of IEEE and AMAC.
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