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Comparison of Approximation Capabilities of Neural Networks and Linear Models

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    0348390 - ÚI 2011 RIV SK eng C - Conference Paper (international conference)
    Kůrková, Věra
    Comparison of Approximation Capabilities of Neural Networks and Linear Models.
    Informačné Technológie - Aplikácie a Teória. Seňa: Pont, 2010 - (Pardubská, D.), s. 31-36. ISBN 978-80-970179-3-4.
    [ITAT 2010. Conference on Theory and Practice of Information Technologies. Smrekovica (SK), 21.09.2010-25.09.2010]
    R&D Projects: GA MŠMT(CZ) 1M0567
    Institutional research plan: CEZ:AV0Z10300504
    Keywords : neural network approximation * linear approximation
    Subject RIV: IN - Informatics, Computer Science

    Using method from nonlinear approximation and integral representations tailored to computational units, we describe some cases when neural networks outperform any linear approximator.
    Permanent Link: http://hdl.handle.net/11104/0188937

     
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