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
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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
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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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
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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
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