Probabilistic Modelling and Soft Computing Methods

Probabilistic Modelling and Soft Computing Methods
155-0907/01
čeština

Anotace

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.

Povinná literatura

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, .
CHARU C. AGGANWAL. Neural Networks and Deep Learning. Springer Publishing, 2018,

Doporučená literatura

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, .
CHARU, C., Aggarwal. Neural Networks and Deep Learn-ing. Springer International Publishing AG, 2018, .
LANTZ, B. Machine learning with R. Birmingham. Packt Publishing, 2013, .

zpět na vyhledávání

Language of instruction	čeština
Code	155-0907
Abbreviation	PMMSC
Course title	Probabilistic Modelling and Soft Computing Methods
Coordinating department	Department of Applied Informatics
Course coordinator	prof. Ing. Dušan Marček, CSc.