Neural Networks Algorithms Analysis in Image Processing Application

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F08%3APU77280" target="_blank" >RIV/00216305:26220/08:PU77280 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Neural Networks Algorithms Analysis in Image Processing Application
Original language description
The paper describes the algorithms for construction and learning of the Radial Basis Function (RBF) and the MLP (Multi Layer Perceptron) neural networks. We compared results obtained by a using of learning algorithms LMS (Least Mean Square) and gradientalgorithms and results obtained by a using of algorithms APC-III and K-means for hidden layer contruction of RBF neural network and algorithm Back-Propagation (BP) of MLP neural network. The real technological scene for object identification by means ofMLP and RBF neural networks was simulated with digitization of two-dimensional objects.
Czech name
Algoritmy neuronových sítí při analýze v aplikaci zpracování obrazů
Czech description
Příspěvek se zabývá algoritmy neuronových sítí při analýze v aplikaci zpracování obrazů.

Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
JA - Electronics and optoelectronics
OECD FORD branch
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Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year
2008
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical
International Transactions on Communication and Signal Processing
ISSN
1738-9682
e-ISSN
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Volume of the periodical
12
Issue of the periodical within the volume
11
Country of publishing house
KR - KOREA, REPUBLIC OF
Number of pages
10
Pages from-to
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UT code for WoS article
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EID of the result in the Scopus database
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