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  • This contribution describes the problem of the object classification by using artifical neural network. This is the question of the Back-propagation, Kohonen and ART network algorithms comparison. Back-propagation algorithm is based on minimization of neural network energy, Kohonen network is one of the self-organizing neural networks and characteristic feature of ART network is its ability to switch the variable and stable mode without damaging information learned. The application part includes the total evaluation of given algorithms on the bases of time learning and success in classification of given objects of two-dimensional technologic scene. The real technologic scene was simulated with digitization of two-dimensional pictures of real objects.
  • This contribution describes the problem of the object classification by using artifical neural network. This is the question of the Back-propagation, Kohonen and ART network algorithms comparison. Back-propagation algorithm is based on minimization of neural network energy, Kohonen network is one of the self-organizing neural networks and characteristic feature of ART network is its ability to switch the variable and stable mode without damaging information learned. The application part includes the total evaluation of given algorithms on the bases of time learning and success in classification of given objects of two-dimensional technologic scene. The real technologic scene was simulated with digitization of two-dimensional pictures of real objects. (en)
Title
  • Image Processing Using Neural Network
  • Image Processing Using Neural Network (en)
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  • Image Processing Using Neural Network
  • Image Processing Using Neural Network (en)
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  • RIV/00216305:26210/01:PU27413!RIV11-MSM-26210___
http://linked.open...avai/riv/aktivita
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  • P(LP0088), V, Z(MSM 261100009)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
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  • 682368
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  • RIV/00216305:26210/01:PU27413
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  • Neural Networks, Image Processing, Pattern Recognition (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [CF88DBAECE76]
http://linked.open...v/mistoKonaniAkce
  • Brno
http://linked.open...i/riv/mistoVydani
  • UTKO VUT Brno
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  • Proceedings of the Conference TSP 2001
http://linked.open...in/vavai/riv/obor
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http://linked.open...vavai/riv/projekt
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  • Škorpil, Vladislav
  • Šťastný, Jiří
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http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
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  • Foerster
https://schema.org/isbn
  • 80-214-1962-8
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  • 26210
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