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SME063 Artificial Neural Networks 6.0 ECTS credits | |
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TIMEPERIOD: LANGUAGE:English/Swedish EXAMINER L Gustafsson Univ lekt PREREQUISITES COURSE AIM The course is intended to give theoretical knowledge and training in the usage of artificial neural networks. CONTENTS Models of neurons. Plasticity of neurons - Hebbian learning. Hopfield networks and associative memories. Self-organization and Kohonen networks. Feedforward networks with error correction. Engineering applications of artificial neural networks for information processing. Simulation of self-organization and information processing in areas of neocortex with applications in psychiatry. TEACHING Lectures and laboratory work. EXAMINATION Evaluation is by completed labwork and a final examination. COURSE GRADE SCALE: U, 3, 4, 5 ITEMS/CREDITS | |
| Laboratory work | 3.00ECTS |
| Written exam | 3.00ECTS |
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COURSE LITTERATURE Haykin, S., Neural Networks, a Comprehensive Foundation, New York: IEEE Computer Society Press, 1994, ISBN 0-02-352761-7. Laboratory instructions. Further information: Lennart Gustafsson |
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