Search results

  1. 1.
    0485562 - ÚI 2021 RIV CH eng M - Monography Chapter
    Kůrková, Věra - Kainen, P.C.
    Integral Transforms Induced by Heaviside Perceptrons.
    Beyond Traditional Probabilistic Data Processing Techniques: Interval, Fuzzy, etc. Methods and Their Applications. Cham: Springer, 2020 - (Kosheleva, O.; Shary, S.; Xiang, G.; Zapatrin, R.), s. 631-649. Studies in Computational Intelligence, 835. ISBN 978-3-030-31040-0
    R&D Projects: GA ČR GA15-18108S; GA ČR(CZ) GA18-23827S
    Institutional support: RVO:67985807
    Keywords : representations of functions by neural networks * Haeviside perceptrons * integral transforms
    OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
    Permanent Link: http://hdl.handle.net/11104/0280525
     
     
  2. 2.
    0482536 - ÚI 2021 RIV CH eng M - Monography Chapter
    Kainen, P.C. - Kůrková, Věra
    Quasiorthogonal dimension.
    Beyond Traditional Probabilistic Data Processing Techniques: Interval, Fuzzy, etc. Methods and Their Applications. Cham: Springer, 2020 - (Kosheleva, O.; Shary, S.; Xiang, G.; Zapatrin, R.), s. 615-629. Studies in Computational Intelligence, 835. ISBN 978-3-030-31040-0
    R&D Projects: GA ČR(CZ) GA19-05704S
    Institutional support: RVO:67985807
    Keywords : high-dimensional geometry * interval approach to dimension * quasiorthogonal dimension
    OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
    Permanent Link: http://hdl.handle.net/11104/0277964
     
     
  3. 3.
    0389184 - ÚI 2014 RIV DE eng M - Monography Chapter
    Kainen, P.C. - Kůrková, Věra - Sanguineti, M.
    Approximating Multivariable Functions by Feedforward Neural Nets.
    Handbook on Neural Information Processing. Berlin: Springer, 2013 - (Bianchini, M.; Maggini, M.; Jain, L.), s. 143-181. Intelligent Systems Reference Library, 49. ISBN 978-3-642-36656-7
    R&D Projects: GA ČR GAP202/11/1368; GA MŠMT(CZ) ME10023
    Grant - others:CNR-AV ČR(CZ) Project 2010–2012 “Complexity of Neural-Network and Kernel Computational Models
    Institutional support: RVO:67985807
    Keywords : multivariable approximation * feedforward neural networks * network complexity * approximation rates * variational norm * best approximation * tractability of approximation
    Subject RIV: IN - Informatics, Computer Science
    Permanent Link: http://hdl.handle.net/11104/0218068
     
     


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