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Neural Networks Between Integer and Rational Weights

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F17%3A00470700" target="_blank" >RIV/67985807:_____/17:00470700 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1109/IJCNN.2017.7965849" target="_blank" >http://dx.doi.org/10.1109/IJCNN.2017.7965849</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/IJCNN.2017.7965849" target="_blank" >10.1109/IJCNN.2017.7965849</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Neural Networks Between Integer and Rational Weights

  • Original language description

    The analysis of the computational power of neural networks with the weight parameters between integer and rational numbers is refined. We study an intermediate model of binary-state neural networks with integer weights, corresponding to finite automata, which is extended with an extra analog unit with rational weights, as already two additional analog units allow for Turing universality. We characterize the languages that are accepted by this model in terms of so-called cut languages which are combined in a certain way by usual string operations. We employ this characterization for proving that the languages accepted by neural networks with an analog unit are contextsensitive and we present an explicit example of such non-contextfree languages. In addition, we formulate a sufficient condition when these networks accept only regular languages in terms of quasi-periodicity of parameters derived from their weights.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    <a href="/en/project/GBP202%2F12%2FG061" target="_blank" >GBP202/12/G061: Center of excellence - Institute for theoretical computer science (CE-ITI)</a><br>

  • Continuities

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

Others

  • Publication year

    2017

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proceedings of the 2017 International Joint Conference on Neural Networks

  • ISBN

    978-1-5090-6182-2

  • ISSN

    2161-4407

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    154-161

  • Publisher name

    IEEE Operations Center

  • Place of publication

    Piscataway

  • Event location

    Anchorage

  • Event date

    May 14, 2017

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000426968700022