Search results

  1. 1.
    0403756 - UIVT-O 20000030 RIV US eng J - Journal Article
    Kainen, P.C. - Kůrková, Věra - Vogt, A.
    Best Approximation by Heaviside Perceptron Networks.
    Neural Networks. Roč. 13, č. 7 (2000), s. 695-697. ISSN 0893-6080. E-ISSN 1879-2782
    R&D Projects: GA ČR GA201/96/0917; GA AV ČR IAA2030602
    Institutional research plan: AV0Z1030915
    Keywords : one-hidden-layer networks * heaviside perceptrons * best approximation * metric projection * continuous selection * approximatively compact
    Subject RIV: BA - General Mathematics
    Impact factor: 1.221, year: 2000
    Permanent Link: http://hdl.handle.net/11104/0124048
     
     
  2. 2.
    0402795 - UIVT-O 960099 CZ eng J - Journal Article
    Hlaváčková, Kateřina
    Dependence of the Rate of Approximation in a Feedforward Network on its Activation Function.
    Neural Network World. Roč. 6, č. 2 (1996), s. 163-171. ISSN 1210-0552.
    [Neurofuzzy'96. Prague, 16.04.1996-18.04.1996]
    R&D Projects: GA ČR GA201/93/0427; GA ČR GA201/96/0917
    Permanent Link: http://hdl.handle.net/11104/0003401
     
     
  3. 3.
    0402777 - UIVT-O 970069 US eng J - Journal Article
    Kůrková, Věra - Kainen, P.C. - Kreinovich, V.
    Estimates of the Number of Hidden Units and Variation with Respect to Half-Spaces.
    Neural Networks. Roč. 10, č. 6 (1997), s. 1061-1068. ISSN 0893-6080. E-ISSN 1879-2782
    R&D Projects: GA ČR GA201/93/0427; GA ČR GA201/96/0917
    Keywords : aproximation of functions * one-hidden-layer sigmoidal networks * estimates of the number of hidden units * variation with respect to half-spaces * integral representation
    Impact factor: 1.019, year: 1997
    Permanent Link: http://hdl.handle.net/11104/0123159
     
     
  4. 4.
    0402770 - UIVT-O 960139 CZ eng J - Journal Article
    Kůrková, Věra
    Trade-off Between the Size of Parameters and the Number of Units in One-Hidden-Layer Networks.
    Neural Network World. Roč. 6, č. 2 (1996), s. 191-200. ISSN 1210-0552.
    [Neurofuzzy'96. Prague, 16.04.1996-18.04.1996]
    R&D Projects: GA ČR GA201/93/0427; GA ČR GA201/96/0917
    Keywords : approximation of functions * neural networks
    Permanent Link: http://hdl.handle.net/11104/0003400
     
     


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