Thesis Details

Predikce deště z meteoradaru

Bachelor's Thesis Student: Vlček Michael Academic Year: 2014/2015 Supervisor: Szőke Igor, Ing., Ph.D.
English title
Prediction of Raining from Meteoradar
Language
Czech
Abstract

This thesis deals with rain prediction using information from meteoradar images and some other relevant factors through the computational model of a neural network. It focuses on exploring different prediction possibilities using this model and defining the most successful model configuration to fulfill the chosen task.

Keywords

Rain prediction, weather, meteoradar, radar images, image processing, neuron, artificialneural networks, prediction model, feed-forward backpropagation neural network, learning algorithms

Department
Department of Computer Graphics and Multimedia FIT BUT
Degree Programme
Information Technology
Files
Status
defended, grade C
Date
16 June 2015
Reviewer
Pešán Jan, Ing.
Committee
Smrž Pavel, doc. RNDr., Ph.D. (DCGM FIT BUT), předseda
Fučík Otto, doc. Dr. Ing. (DCSY FIT BUT), člen
Ryšavý Ondřej, doc. Ing., Ph.D. (DIFS FIT BUT), člen
Smrčka Aleš, Ing., Ph.D. (DITS FIT BUT), člen
Španěl Michal, Ing., Ph.D. (DCGM FIT BUT), člen
Citation
VLČEK, Michael. Predikce deště z meteoradaru. Brno, 2015. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2015-06-16. Supervised by Szőke Igor. Available from: https://www.fit.vut.cz/study/thesis/15828/
BibTeX 
@bachelorsthesis{FITBT15828,
    author = "Michael Vl\v{c}ek",
    type = "Bachelor's thesis",
    title = "Predikce de\v{s}t\v{e} z meteoradaru",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2015,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/15828/"
}

Theses

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