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Title:ADAPTIVNA KLASIFIKACIJA S KOHONENOVO NEVRONSKO MREŽO
Authors:ID Brakus, Marko (Author)
ID Guid, Nikola (Mentor) More about this mentor... New window
ID Strnad, Damjan (Comentor)
Files:.pdf UNI_Brakus_Marko_2010.pdf (4,74 MB)
MD5: 3F0BD0FF51B2E9A8628CB2C2C13BB18E
PID: 20.500.12556/dkum/1a0fbcc0-b35a-4f95-90f2-a4a6677adecd
 
Language:Slovenian
Work type:Undergraduate thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:V diplomskem delu bomo predstavili Kohonenovo nevronsko mrežo in preučili njeno strukturo, učenje z algoritmom SOM, parametre in uporabo predvsem pri klasifikaciji. Kohonenova nevronska mreža je ena od najpopularnejših zaradi svojih širokih lastnosti. Predvsem jo uporabljajo pri preučevanju in vizualizaciji podatkov. Razložili bomo strukturo, učenje in parametre Kohonenove nevronske mreže in tudi način, s katerim algoritem SOM neznane podatke razdeli v gruče in izgradi klasifikator. Opisali bomo tudi testno programsko opremo.
Keywords:Kohonen, SOM, klasifikacija, razdelitev v gruče, nevronske mreže
Place of publishing:Maribor
Publisher:[M. Brakus]
Year of publishing:2010
PID:20.500.12556/DKUM-13049 New window
UDC:[519.237:519.71]:658.51(043.2)
COBISS.SI-ID:14047510 New window
NUK URN:URN:SI:UM:DK:VZPFHU15
Publication date in DKUM:02.02.2010
Views:2175
Downloads:247
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
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Secondary language

Language:English
Title:ADAPTIVE CLASSIFICATION WITH KOHONEN NEURAL NETWORK
Abstract:In this thesis, we present the Kohonen neural network and study of its structure, parameters, learning with the SOM algorithm, and its use primarily in classification. The Kohonen neural network is one of the most popular because of its diverse features. It is used mainly in analysis and visualization of data. We explain the strucuture and learning of the Kohonen neural network and the way, in which the SOM algorithm clusters unknown data and builds a classifier. A demonstration software is implemented and described as part of this work.
Keywords:Kohonen, SOM, classification, clustering, neural networks


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