Thesis Details

Neuronové sítě a hrubé množiny

Master's Thesis Student: Čurilla Matej Academic Year: 2014/2015 Supervisor: Zbořil František V., doc. Ing., CSc.
English title
Neural Networks and Rough Sets
Language
Czech
Abstract

Rough sets and neural networks both offer good theoretical background for data processing and analysis. However, both of them suffer from few issues. This thesis will investigate methods by which these two concepts are merged, and few such solutions will be implemented and compared with conventional algorithm to study the benefits of this approach.

Keywords

rough sets, neural networks, rough neural networks, rough neuron, rough logic, data preprocessing, rough-granular neural networks

Department
Department of Intelligent Systems FIT BUT
Degree Programme
Information Technology, Field of Study Intelligent Systems
Status
defended, grade E
Date
22 June 2015
Reviewer
Hrubý Martin, Ing., Ph.D.
Committee
Vojnar Tomáš, prof. Ing., Ph.D. (DITS FIT BUT), předseda
Češka Milan, prof. RNDr., CSc. (DITS FIT BUT), člen
Matoušek Radomil, doc. Ing., Ph.D. (IACS FME BUT), člen
Očenášek Pavel, Mgr. Ing., Ph.D. (DIFS FIT BUT), člen
Peringer Petr, Dr. Ing. (DITS FIT BUT), člen
Španěl Michal, Ing., Ph.D. (DCGM FIT BUT), člen
Citation
ČURILLA, Matej. Neuronové sítě a hrubé množiny. Brno, 2015. Master's Thesis. Brno University of Technology, Faculty of Information Technology. 2015-06-22. Supervised by Zbořil František V.. Available from: https://www.fit.vut.cz/study/thesis/8319/
BibTeX 
@mastersthesis{FITMT8319,
    author = "Matej \v{C}urilla",
    type = "Master's thesis",
    title = "Neuronov\'{e} s\'{i}t\v{e} a hrub\'{e} mno\v{z}iny",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2015,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/8319/"
}

Theses

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