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Investigation on Unconventional Synthesis of Astroinformatic Data Classifier Powered by Irregular Dynamics

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F18%3A10241919" target="_blank" >RIV/61989100:27240/18:10241919 - isvavai.cz</a>

  • Alternative codes found

    RIV/61989100:27740/18:10241919

  • Result on the web

    <a href="https://ieeexplore.ieee.org/abstract/document/8497013" target="_blank" >https://ieeexplore.ieee.org/abstract/document/8497013</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Investigation on Unconventional Synthesis of Astroinformatic Data Classifier Powered by Irregular Dynamics

  • Original language description

    This paper discusses the mutual combination of the unconventional algorithm (in this case evolutionary algorithms), deterministic chaos and modeling on real data from astrophysics. Analytical programming with selected evolutionary algorithm is used to synthesize suitable models. The main attention in this paper is focused on various chaotic generators, which are used instead of classical pseudo-random number generators. Chaotic generators are used in conjunction with a special case - a generator based on a strange non-chaotic attractor. The performance of all chaotic and non-chaotic based generators is then mutually compared at the end.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • 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

    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

    2018

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    IEEE Intelligent Systems

  • ISSN

    1541-1672

  • e-ISSN

  • Volume of the periodical

    33

  • Issue of the periodical within the volume

    4

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    15

  • Pages from-to

    63-77

  • UT code for WoS article

    000447947100005

  • EID of the result in the Scopus database