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Course Catalog 1998/99


Computer Science, Electrical Engineering

SME063 Artificial Neural Networks 6.0 ECTS credits

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

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

Valid for school year 1998/99.
Latest version:http://www.luth.se/stuka

Web Editor: Birgitta.Hakansson@dc.luth.se


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LULEÅ UNIVERSITY OF TECHNOLOGY
University Campus, Porsön, 971 87 Luleå. Tel. +46 (0) 920-91 000, fax +46 (0) 920-91 399
Last edited 1998-08-28