Artificial neural networks
University of Gothenburg
GÖTEBORG
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Pace of study: 50 %
Published education catalogue
Artificial neural networks
Education information from the published source. The education record and its time-bound offerings are kept separate.
Education facts
Code: FYM136
Neural networks are distributed computing models inspired by the structure of the human brain, consisting of many simple processing elements connected in a network. Neural networks are increasingly used in engineering for tasks such as pattern recognition, prediction and control. The theory of neural networks is an interdisciplinary field (neurobiology, computer science and statistical physics).
Entry requirements
Bachelor degree, including at least 30 credits maths, plus programming.
Education offerings
Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.
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Last changed according to the source: 2026-08-26T07:52:40