Back-Propagation and K-Means Algorithms Comparison
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F06%3APU63586" target="_blank" >RIV/00216305:26220/06:PU63586 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Back-Propagation and K-Means Algorithms Comparison
Original language description
The paper describes the application of algorithms for object classification by using artificial neural networks. The MLP (Multi Layer Perceptron) and RBF (Radial Basis Function) neural networks were used. We compared results obtained by a using of learning algorithms Back-Propagation (BP) and K-Means. The real technological scene for object classification was simulated with digitization of two-dimensional pictures. The principles and algorithms given below have been used in an application that was developed at Brno University of Technology.
Czech name
Porovnání algoritmů Back-Propagation a K-Means
Czech description
Příspěvek popisuje aplikaci algoritmů pro klasifikaci objeků a užívá umělé neuronové sítě. Užity jsou neuronové sítě MLP (Multi Layer Perceptron) a RBF (Radial Basis Function)a porovnány jsou výsledky při algoritmech Back-Propagation (BP) and K-Means. Vývoj probíhá na VUT v Brně.
Classification
Type
D - Article in proceedings
CEP classification
JA - Electronics and optoelectronics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/2E06034" target="_blank" >2E06034: Lifetime education and professional preparation in the field of telematics, teleinformatic and transport telematics</a><br>
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2006
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2006 8th International Conference on SIGNAL PROCESSING Proceedings
ISBN
0-7803-9736-3
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
1871-1874
Publisher name
IEEE Press
Place of publication
Beijing, China
Event location
Guilin
Event date
Nov 16, 2006
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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