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Robust RBF Finite Automata

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F04%3A00108848" target="_blank" >RIV/67985807:_____/04:00108848 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Robust RBF Finite Automata

  • Original language description

    The computational power of recurrent RBF(radial basis functions) networks is investigated.A recurrent network which consists of O(sqrt(m logm)) RBF units with maximum norm employing any activation function that has different values in at least two nonnegative points,is constructed so as to implement a given deterministic finite automaton with m states.The underlying simulation proves to be robust with regard to analog noise for a large class of smooth activation functions with a special type of inflections.

  • Czech name

    Robustní RBF konečné automaty

  • Czech description

    Zkoumáme vypočetni sílu rekurentních RBF (radiálních bazických funkcí) sítí. Zkonstruujeme rekurentní síť s O(sqrt(m log m)) RBF jednotkami s kubickou normou a aktivační funkci nabývající různých hodnot alespoň ve dvou nezáporných bodech, která implementuje deterministický konečný automat s m stavy. Dokážeme, ze pro velkou třídu hladkých aktivačních funkci se speciálním typem inflexe je příslušná simulace robustní vůči omezenému analogovému šumu.

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

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2004

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Neurocomputing

  • ISSN

    0925-2312

  • e-ISSN

  • Volume of the periodical

    62

  • Issue of the periodical within the volume

    -

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    18

  • Pages from-to

    93-110

  • UT code for WoS article

  • EID of the result in the Scopus database