Neuron models. Neurons of the 1st generation. Neurons of the 2nd generation - Perceptron. Neuron adaptation. Hebb's Algorithm. Widrwo-Hoff learning of linear neuron. Multilayered architectures. Backpropagation and its parametric modification. Implemenation of neuron with interval based excitation. Generalized Backpropagation. Recurrent neural networks. Kohonen learning and Self Organized Maps. Counter-propagation. Hopfield networks. Boltzmann Machine. Bidirectional Associative Memory. Adaptive Resonance Theory.
Terminated in academic year 2009/2010
Neural Networks
| Type of study | Follow-up Master |
|---|---|
| Language of instruction | Czech |
| Code | 456-0319/01 |
| Abbreviation | NEU |
| Course title | Neural Networks |
| Credits | 4 |
| Coordinating department | Department of Computer Science |
| Course coordinator | prof. Ing. Ivo Vondrák, CSc. |
Subject syllabus
Literature
Hecht-Nielsen: Neurocomputing, Addison-Wesley 1989
Wasserman, P.D.: Neural Computing, Theory and Practice. Van Nostrand Reinhold,
NY, 1989
Vondrák, I.: Artificial Intelligence and Neural Networks. Textbook VŠB - TU Ostrava,
1994
Wasserman, P.D.: Neural Computing, Theory and Practice. Van Nostrand Reinhold,
NY, 1989
Vondrák, I.: Artificial Intelligence and Neural Networks. Textbook VŠB - TU Ostrava,
1994
Advised literature
Vondrák, I.: Artificial Intelligence and Neural Networks. Textbook VŠB - TU Ostrava,
1994
1994