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Description
  • A learning algorithm that is based on Kolmogorov theorem concerning composition of n-dimensional continuous function from one-dimensional continuous functions.In our work we follow the approach by Sprecher who proved the most general version of the theorem as well as proposed numerical implementation details. The feasible learning algorithm is presented together with the discussion of further possible improvements. The algorithm performance is demonstrated on a simple example.
  • A learning algorithm that is based on Kolmogorov theorem concerning composition of n-dimensional continuous function from one-dimensional continuous functions.In our work we follow the approach by Sprecher who proved the most general version of the theorem as well as proposed numerical implementation details. The feasible learning algorithm is presented together with the discussion of further possible improvements. The algorithm performance is demonstrated on a simple example. (en)
Title
  • Implementation Remarks on Learning Algorithm Based on Kolmogorov Theorem.
  • Implementation Remarks on Learning Algorithm Based on Kolmogorov Theorem. (en)
skos:prefLabel
  • Implementation Remarks on Learning Algorithm Based on Kolmogorov Theorem.
  • Implementation Remarks on Learning Algorithm Based on Kolmogorov Theorem. (en)
skos:notation
  • RIV/67985807:_____/00:06000122!RIV/2003/AV0/A06003/N
http://linked.open.../vavai/riv/strany
  • 305;310
http://linked.open...avai/riv/aktivita
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  • P(GA201/98/0717), P(IAB1030006), Z(AV0Z1030915)
http://linked.open...vai/riv/dodaniDat
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  • 713245
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  • RIV/67985807:_____/00:06000122
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  • N/A (en)
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  • [611828BE614C]
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  • N/A
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  • Electrical and Computer Engineering Series.
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  • Systems and Control: Theory and Applications.
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
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  • Neruda, Roman
  • Drkošová, Jitka
  • Štědrý, Arnošt
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • World Scientific and Engineering Society Press
https://schema.org/isbn
  • 960-8052-11-4
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