Neural Networks

Neural Networks
460-4048/01
čeština Neural Networks
460-4048/02
čeština Neural Networks
460-4048/03
angličtina

Summary

The goal of the course is to introduce the paradigm of neural networks. The basic model on neuron is introduced as well as architectures of how the artificial neural networks are composed, adapted and used. The fundamental models like multilayered, self-adapting and recurrent neural networks are described.

Literature

Mandatory:
1. Hecht-Nielsen: Neurocomputing, Addison-Wesley 1989
2. Wasserman, P.D.: Neural Computing, Theory and Practice. Van Nostrand Reinhold, NY, 1989

Recommended:
3. Rojas, R. Neural Networks: A Systematic Introduction Springer-Verlag New York, Inc., 1996, ISBN: 3-540-60505-3

Advised literature

Hecht-Nielsen: Neurocomputing, Addison-Wesley 1989

back to search page

Language of instruction	čeština, čeština, angličtina
Code	460-4048
Abbreviation	NS
Course title	Neural Networks
Coordinating department	Department of Computer Science
Course coordinator	prof. Ing. Ivo Vondrák, CSc.