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SME063 Artificial Neural Networks 6.0 ECTS credits | |
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TIMEPERIOD: Quarter IV LANGUAGE:English/Swedish EXAMINER L Gustafsson Univ lekt PREREQUISITES MAM140 or equal. 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.
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| Laboratory work | 3.00ECTS |
| Written exam | 3.00ECTS |
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COURSE LITERATURE Haykin, S., Neural Networks, a Comprehensive Foundation second edition, New York: IEEE Computer Society Press, 1999, ISBN 0-13-908385-5 Laboratory instructions. Further information: International Office |
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