HAYKIN, Simon S. Neural networks and learning machines. 3rd ed. Upper Saddle River: Pearson, 2009. 934 s. ISBN 9780131293762.
KOHONEN, Teuvo. Self-Organizing Maps. Berlin: Springer-Verlag, 1995. 392 s. Springer Series in Information Sciences 30. ISBN 3-540-58600-8 . info
Kanevski M., Pozdnoukhov A., Timonin V. Machine Learning for Spatial Environmental Data. EPFL Press, 2009.
Bishop C. Pattern recognition and machine learning. Springer, 2006.
Ukončeno v akademickém roce 2022/2023
Methods of Experimental Data Processing
| Type of study | Follow-up Master |
|---|---|
| Language of instruction | Czech |
| Code | 548-0113/01 |
| Abbreviation | MEZEK |
| Course title | Methods of Experimental Data Processing |
| Credits | 5 |
| Coordinating department | Department of Geoinformatics |
| Course coordinator | Ing. Lucie Orlíková, Ph.D. |
Osnova předmětu
1)Introduction to artificial neural networks
2) Architecture of artificial neural networks. Perceptrons and basic learning algorithms
3) Backpropagation learning
4) Competitive Learning and Kohonen Nets
5) CounterPropagation method
6) Hopfield Nets and Boltzmann Machines
7) Optimization Techniques, overfitting, cross validation
8) Support vector classification
9) Support vector machine - kernel methods
10) Artificial neural networks in geoinformatics
2) Architecture of artificial neural networks. Perceptrons and basic learning algorithms
3) Backpropagation learning
4) Competitive Learning and Kohonen Nets
5) CounterPropagation method
6) Hopfield Nets and Boltzmann Machines
7) Optimization Techniques, overfitting, cross validation
8) Support vector classification
9) Support vector machine - kernel methods
10) Artificial neural networks in geoinformatics
Povinná literatura
Doporučená literatura
Hastie T., Tibshirani R., Friedman J. The Elements of Statistical Learning. 2d edition. Springer, 2009.
Kanevski M. (Editor). Advanced Mapping of Environmental Data. Geostatistics, Machine Learning, and Bayesian Maximum Entropy. iSTE/Wiley, 2008.
Kanevski M. (Editor). Advanced Mapping of Environmental Data. Geostatistics, Machine Learning, and Bayesian Maximum Entropy. iSTE/Wiley, 2008.