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  • In this paper we study feedforward neural networks as nonlinear approximation schemes computing parametrized sets of variable-basis functions. We show that under suitable constraints on the functions be approximated and on the type of hidden units approximation by such networks does not exhibit the curse of dimensionality.
  • In this paper we study feedforward neural networks as nonlinear approximation schemes computing parametrized sets of variable-basis functions. We show that under suitable constraints on the functions be approximated and on the type of hidden units approximation by such networks does not exhibit the curse of dimensionality. (en)
Title
  • Dimension Independent Approximation by Neural Networks: How Can we Cope With the Curse of Dimensionality?
  • Dimension Independent Approximation by Neural Networks: How Can we Cope With the Curse of Dimensionality? (en)
skos:prefLabel
  • Dimension Independent Approximation by Neural Networks: How Can we Cope With the Curse of Dimensionality?
  • Dimension Independent Approximation by Neural Networks: How Can we Cope With the Curse of Dimensionality? (en)
skos:notation
  • RIV/67985807:_____/00:06010168!RIV/2003/AV0/A06003/N
http://linked.open.../vavai/riv/strany
  • 355;364
http://linked.open...avai/riv/aktivita
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  • P(GA201/00/1489), P(GA201/99/0092), Z(AV0Z1030915)
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http://linked.open...aciTvurceVysledku
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  • 708840
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  • RIV/67985807:_____/00:06010168
http://linked.open...riv/jazykVysledku
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  • curse of dimensionality; - dimension-independent approximation; - linear and nonlinear approximation; - complexity neural networks (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [F0FAD558EF2F]
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  • Daytona Beach [US]
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  • Cambridge
http://linked.open...i/riv/nazevZdroje
  • Non-Linear Problems in Aviation and Aerospace.
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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  • European Conference Publications
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