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CZECH TECHNICAL UNIVERSITY IN PRAGUE
STUDY PLANS
2018/2019

Algorithms and Structures of Neurocomputers

The course is not on the list Without time-table
Code Completion Credits Range Language
XP31ASN ZK 4 2+2s Czech
Lecturer:
Tutor:
Supervisor:
Department of Circuit Theory
Synopsis:

Information about the basic principles and possibility of the application of the neural informative technology for the signal processing are the main topic. The lectures are devoted to the introduction into the artificial neural networks (ANN) theory and applications, to the choice and the optimisation of the structures and the neural network applications at the signal processing are investigated in detail. Some neural network applications in the biomedical engineering and hardware realization of the KSOM are described.

Requirements:
Syllabus of lectures:
Syllabus of tutorials:
Study Objective:
Study materials:

[1] Tučková, J.: Choice applications of the artificial neural networks at the signal processing.

CTU publishing, Prague, 2009, ISBN 978-80-01-04229-8 (in Czech).

[2] Tučková, J.: Introduction into the Neural Network Theory and Applications. Texts of

CTU Prague, CTU publishing, 2005, ISBN 80-01-02800-3 (in Czech).

[3] Artificial Neural Networks, theory and applications. C.H.Beck, Prague, 1998, ISBN

80-7179-732-6 (in Czech).

Note:
Further information:
No time-table has been prepared for this course
The course is a part of the following study plans:
Data valid to 2019-06-27
For updated information see http://bilakniha.cvut.cz/en/predmet1134506.html