Simulation of pattern recognition systém via modular neural networks

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17310%2F11%3AA11010RU" target="_blank" >RIV/61988987:17310/11:A11010RU - isvavai.cz</a>
Alternative codes found
RIV/61988987:17310/11:A14010RU
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Simulation of pattern recognition systém via modular neural networks
Original language description
It is the purpose of the present paper to suggest an approach to utilization of mathematical models of a classification system for pattern recognition. Pattern recognition has a long history but has recently become much more widespread as the automated capture of signals and images has become cheaper. Very many of the applications of neural networks are to classification, and so are within the field of pattern recognition. This article describes a classification system for pattern recognition based on artificial neural networks with modular architecture. We use a three layer feedforward network model that is learned with the backpropagation algorithm for all experiments. Our experimental recognition objects were digits and their type fonts. We also propose outline further development on this topic in conclusion.
Czech name
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Czech description
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Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Simulation of pattern recognition systém via modular neural networks
ISBN
978-80-89313-51-8
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
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Publisher name
STU Bratislava
Place of publication
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Event location
Bratislava
Event date
Feb 1, 2011
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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