Thesis Details

Porovnání knihoven pro práci s umělými neuronovými sítěmi

Bachelor's Thesis Student: Dohnal Zdeněk Academic Year: 2014/2015 Supervisor: Dalecký Štěpán, Ing.
English title
Comparison of Libraries of Artificial Neural Networks
Language
Czech
Abstract

This thesis is about comparison of libraries of artificial neural networks. Basic theory of neuron, neural networks and their learning algorithms are explained here. Multilayer perceptron, Self organizing map and Hopfield net are chosen for experiments. Criteria of comparison such as licence, community or last actualization are designed. Approximation of function, association and clustering are chosen as task for experiments. After that, there is implementation of applications using chosen libraries. At the end, result of comparison and experiment are evaluated.

Keywords

artificial neural networks, neuron, multilayer perceptron, Kohonen maps, Hopfield nets, Backpropagation

Department
Department of Intelligent Systems FIT BUT
Degree Programme
Information Technology
Files
Status
defended, grade C
Date
18 June 2015
Reviewer
Zbořil František, doc. Ing., Ph.D.
Committee
Zbořil František V., doc. Ing., CSc. (DITS FIT BUT), předseda
Burget Lukáš, doc. Ing., Ph.D. (DCGM FIT BUT), člen
Drábek Vladimír, doc. Ing., CSc. (DCSY FIT BUT), člen
Křivka Zbyněk, Ing., Ph.D. (DIFS FIT BUT), člen
Rogalewicz Adam, doc. Mgr., Ph.D. (DITS FIT BUT), člen
Citation
DOHNAL, Zdeněk. Porovnání knihoven pro práci s umělými neuronovými sítěmi. Brno, 2015. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2015-06-18. Supervised by Dalecký Štěpán. Available from: https://www.fit.vut.cz/study/thesis/17334/
BibTeX 
@bachelorsthesis{FITBT17334,
    author = "Zden\v{e}k Dohnal",
    type = "Bachelor's thesis",
    title = "Porovn\'{a}n\'{i} knihoven pro pr\'{a}ci s um\v{e}l\'{y}mi neuronov\'{y}mi s\'{i}t\v{e}mi",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2015,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/17334/"
}

Theses

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