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CZECH TECHNICAL UNIVERSITY IN PRAGUE
STUDY PLANS
2018/2019

Time Series Prediction 2

The course is not on the list Without time-table
Code Completion Credits Range
14YPR2 KZ 3 2+1
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Department of Applied Informatics in Transportation
Synopsis:

Nonlinear forecasting methods, comparison with linear models. Artificial neural networks (feedforward multilayered neural networks, Kohonen's self organizing maps, recurrent networks), application of neural networks in forecasting. Learning algorithms, back-propagation, training, validation and testing data sets. Data preprocessing methods, data transformation, missing values and outliers processing. Input data coding, software realizations. Forecasting methodology and developing prediction models, application of forecasting models in different areas: transportation, environment, energy, banking.

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Further information:
No time-table has been prepared for this course
The course is a part of the following study plans:
Data valid to 2019-08-20
For updated information see http://bilakniha.cvut.cz/en/predmet23360605.html