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Minimization of Error Functionals over Perceptron Networks

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F08%3A00042928" target="_blank" >RIV/67985807:_____/08:00042928 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Minimization of Error Functionals over Perceptron Networks

  • Original language description

    Conditions on the data, which guarantee that a good approximation of global minima of error functionals can be achieved using perceptron networks with a limited complexity, are derived.

  • Czech name

    Minimalizace chybových funkcionálů na peceptronových sítích

  • Czech description

    Jsou popsány vlastnosti dat, které zaručují, ze lze docílit dobrou aproximaci minim chybových funkcionálů perceptronovými sítěmi omezené složitosti.

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    BA - General mathematics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GA201%2F05%2F0557" target="_blank" >GA201/05/0557: Approximation and learning of multivariable functions by neural networks and kernel methods</a><br>

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2008

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Neural Computation

  • ISSN

    0899-7667

  • e-ISSN

  • Volume of the periodical

    20

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    19

  • Pages from-to

    252-270

  • UT code for WoS article

  • EID of the result in the Scopus database