Soft Computing concept. Mathematical, statistical and probabilistic modelling methods. Regularization theory applied to modelling of economic processes. Artificial neural nets – applications in economics. Neural network learning as a support for model estimates. Using data prototype and their employment in the development of economic and financial models. Machine learning based on the SVM method (Support Vector Machine). Classification models based on the SVM method and their employment for large data modelling. Economical time series forecasting using SVM methods – problems and possibilities of their applications
Probabilistic Modelling and Soft Computing Methods
| Type of study | Doctoral |
|---|---|
| Language of instruction | Czech |
| Code | 155-0907/01 |
| Abbreviation | PMMSC |
| Course title | Probabilistic Modelling and Soft Computing Methods |
| Credits | 10 |
| Coordinating department | Department of Applied Informatics |
| Course coordinator | prof. Ing. Dušan Marček, CSc. |
Subject syllabus
Literature
SAUTER, Vicki L. Decision Support Systems for Business Intelligence. Wiley Computer Publishing, 2011. ISBN: 978-0-470-43374-4.
ALPAIDYN, Etham. Introduction to Machine Learning (Adaptive Computation and Machine Learning Series), 2010, ISBN: 978-0262012119 .
CHARU C. AGGANWAL. Neural Networks and Deep Learning. Springer Publishing, 2018, ISBN 3319944622
ALPAIDYN, Etham. Introduction to Machine Learning (Adaptive Computation and Machine Learning Series), 2010, ISBN: 978-0262012119 .
CHARU C. AGGANWAL. Neural Networks and Deep Learning. Springer Publishing, 2018, ISBN 3319944622
Advised literature
Gabor K., Kiss, A. Building Neural Networks as Dataflow Graphs. Proceedings of 2019 IEEE 15th International Scientific Conference on Informatics, Informatics 2019, pp. 216-221, ISBN: 978-1-7281-3178-8 .
CHARU, C., Aggarwal. Neural Networks and Deep Learn-ing. Springer International Publishing AG, 2018, ISBN 3319944622 .
LANTZ, B. Machine learning with R. Birmingham. Packt Publishing, 2013, ISBN 9781782162155 .
CHARU, C., Aggarwal. Neural Networks and Deep Learn-ing. Springer International Publishing AG, 2018, ISBN 3319944622 .
LANTZ, B. Machine learning with R. Birmingham. Packt Publishing, 2013, ISBN 9781782162155 .