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Description
  • Complexity of neural networks measured by the number of hidden units is studied in terms of rates of approximation. Limitations of improvements of upper bounds of the order of O(n exp(-1/2)) on such rates are investigated for perceptron networks with some periodic and some sigmoidal activation functions.
  • Complexity of neural networks measured by the number of hidden units is studied in terms of rates of approximation. Limitations of improvements of upper bounds of the order of O(n exp(-1/2)) on such rates are investigated for perceptron networks with some periodic and some sigmoidal activation functions. (en)
Title
  • Tight Bounds on Rates of Neural-Network Approximation.
  • Tight Bounds on Rates of Neural-Network Approximation. (en)
skos:prefLabel
  • Tight Bounds on Rates of Neural-Network Approximation.
  • Tight Bounds on Rates of Neural-Network Approximation. (en)
skos:notation
  • RIV/67985807:_____/01:06010102!RIV/2003/AV0/A06003/N
http://linked.open.../vavai/riv/strany
  • 277;288
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA201/00/1489), Z(AV0Z1030915)
http://linked.open...vai/riv/dodaniDat
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  • 698815
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  • RIV/67985807:_____/01:06010102
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  • complexity of neural networks; - rates of approximation; - perceptron networks (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [C4077536ACB3]
http://linked.open...v/mistoKonaniAkce
  • Vienna [AT]
http://linked.open...i/riv/mistoVydani
  • Berlin
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  • Artificial Neural Networks - ICANN'2001.
http://linked.open...in/vavai/riv/obor
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  • Kůrková, Věra
  • Sanguineti, M.
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http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
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  • Springer-Verlag
https://schema.org/isbn
  • 3-540-42486-5
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