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Adaptive Control for Neural Network Synthesis

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F17%3A63517993" target="_blank" >RIV/70883521:28140/17:63517993 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1051/matecconf/201712502061" target="_blank" >http://dx.doi.org/10.1051/matecconf/201712502061</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1051/matecconf/201712502061" target="_blank" >10.1051/matecconf/201712502061</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Adaptive Control for Neural Network Synthesis

  • Original language description

    Neural Network Synthesis is a method based on based on Analytic Programming and asynchronous implementation of Self-Organising Migration Algorithm. This synthesis woks as an algorithm capable of creating and learning and artificial neural networks as well as optimizing their structures and connections. This paper introduce an idea of adaptive control of Self-Organising Migration Algorithm based on complexity of processed neural network structure.. Such approach already recorded several successful application in modelling and simulation.

  • 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/LO1303" target="_blank" >LO1303: Promoting sustainability and development of the Centre for Security, Information and Advanced Technologies (CEBIA-Tech)</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

    MATEC Web of Conferences

  • ISBN

  • ISSN

    2261-236X

  • e-ISSN

    neuvedeno

  • Number of pages

    10

  • Pages from-to

    "@@@###"

  • Publisher name

    EDP Sciences

  • Place of publication

    Les Ulis

  • Event location

    Heraklion, Crete

  • Event date

    Jul 14, 2017

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article