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  1. 1.
    0404257 - UIVT-O 20010080 CZ eng V - Research Report
    Šíma, Jiří
    Training a Sigmoid Neuron is Hard.
    Prague: ICS AS CR, 2001. 12 s. Technical Report, V-835.
    R&D Projects: GA ČR GA201/00/1489; GA AV ČR IAB2030007
    Institutional research plan: AV0Z1030915
    Keywords : loading problem * learning complexity * NP-hardness * sigmoid neuron * back-propagation * constructive learning
    Subject RIV: BA - General Mathematics
    Permanent Link: http://hdl.handle.net/11104/0124520
    FileDownloadSizeCommentaryVersionAccess
    v835-01.pdf18214 KBOtheropen-access
     
     
  2. 2.
    0404138 - UIVT-O 20000236 CZ eng V - Research Report
    Hakl, František - Kalous, R.
    Vzorová složitost teorie učení a PAC modelu.
    [Sample's complexity and the PAC Learning Model.]
    Prague: ICS AS CR, 2000. 22 s. Technical Report, V-825.
    R&D Projects: GA AV ČR IAB2030007
    Institutional research plan: AV0Z1030915
    Permanent Link: http://hdl.handle.net/11104/0124407
    FileDownloadSizeCommentaryVersionAccess
    v825-00.pdf18376 KBOtheropen-access
     
     
  3. 3.
    0404137 - UIVT-O 20000235 CZ eng V - Research Report
    Hakl, František
    Možnosti aproximace funkcí neuronovými sítěmi.
    [Approximation Properties of Neural Networks.]
    Prague: ICS AS CR, 2000. 23 s. Technical Report, V-824.
    R&D Projects: GA AV ČR IAB2030007
    Institutional research plan: AV0Z1030915
    Keywords : approximation * Kolmogorov theorem * neural networks
    Permanent Link: http://hdl.handle.net/11104/0124406
    FileDownloadSizeCommentaryVersionAccess
    v824-00.pdf18412.2 KBOtheropen-access
     
     
  4. 4.
    0404072 - UIVT-O 20000197 CZ eng V - Research Report
    Šíma, Jiří
    The Computational Theory of Neural Networks.
    Prague: ICS AS CR, 2000. 31 s. Technical Report, V-823.
    R&D Projects: GA ČR GA201/98/0717; GA AV ČR IAB2030007
    Institutional research plan: AV0Z1030915
    Keywords : neural networks * perceptrons * RBF networks * winner-take-all networks * spiking neurons * computational power
    Permanent Link: http://hdl.handle.net/11104/0124344
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    v823-00.pdf18342.6 KBOtheropen-access
     
     
  5. 5.
    0404071 - UIVT-O 20000196 CZ eng V - Research Report
    Šíma, Jiří
    On the Computational Power of Continuous-Time Symmetric Hopfield Nets.
    Prague: ICS AS CR, 2000. 37 s. Technical Report, V-815.
    R&D Projects: GA ČR GA201/98/0717; GA AV ČR IAB2030007
    Institutional research plan: AV0Z1030915
    Keywords : neural networks * continuous-time Hopfield net * Lyapunov function * analog computation * computational power
    Permanent Link: http://hdl.handle.net/11104/0124343
    FileDownloadSizeCommentaryVersionAccess
    v815-00.pdf18375.6 KBOtheropen-access
     
     


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