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Pregled bibliografske jedinice broj: 311129

Fractional Fokker-Planck equations and artificial neural networks for stochastic control of tokamak

Rastović, Danilo
Fractional Fokker-Planck equations and artificial neural networks for stochastic control of tokamak // Journal of Fusion Energy, 27 (2008), 3; 182-187 doi:10.1007/s10894-007-9127-9 (međunarodna recenzija, članak, znanstveni)

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Naslov
Fractional Fokker-Planck equations and artificial neural networks for stochastic control of tokamak

Autori
Rastović, Danilo

Izvornik
Journal of Fusion Energy (0164-0313) 27 (2008), 3; 182-187

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
KAM theory; tokamak; stochastic control

Sažetak
The general form of description of Kolmogorov-Arnold-Moser ( KAM ) theorem in controlled plasma fusion , is obtained via the theory of artificial fuzzy neural networks. Without of the global maximum entropy principle , the complexity function is used for the Monte Carlo simulations .

Izvorni jezik
Engleski

Znanstvena područja
Strojarstvo



POVEZANOST RADA

Projekti:
120-1201842-3048 - Umjetna inteligencija u upravljanju složenim nelinearnim dinamičkim sustavima (Kasać, Josip) ( CroRIS)

Ustanove:
Fakultet strojarstva i brodogradnje, Zagreb,
Tehničko veleučilište u Zagrebu

Profili:

Avatar Url Danilo Rastović (autor)

Poveznice na cjeloviti tekst rada:

Pristup cjelovitom tekstu rada doi www.springerlink.com www.springerlink.com

Citiraj ovu publikaciju:

Rastović, Danilo
Fractional Fokker-Planck equations and artificial neural networks for stochastic control of tokamak // Journal of Fusion Energy, 27 (2008), 3; 182-187 doi:10.1007/s10894-007-9127-9 (međunarodna recenzija, članak, znanstveni)
Rastović, D. (2008) Fractional Fokker-Planck equations and artificial neural networks for stochastic control of tokamak. Journal of Fusion Energy, 27 (3), 182-187 doi:10.1007/s10894-007-9127-9.
@article{article, author = {Rastovi\'{c}, Danilo}, year = {2008}, pages = {182-187}, DOI = {10.1007/s10894-007-9127-9}, keywords = {KAM theory, tokamak, stochastic control}, journal = {Journal of Fusion Energy}, doi = {10.1007/s10894-007-9127-9}, volume = {27}, number = {3}, issn = {0164-0313}, title = {Fractional Fokker-Planck equations and artificial neural networks for stochastic control of tokamak}, keyword = {KAM theory, tokamak, stochastic control} }
@article{article, author = {Rastovi\'{c}, Danilo}, year = {2008}, pages = {182-187}, DOI = {10.1007/s10894-007-9127-9}, keywords = {KAM theory, tokamak, stochastic control}, journal = {Journal of Fusion Energy}, doi = {10.1007/s10894-007-9127-9}, volume = {27}, number = {3}, issn = {0164-0313}, title = {Fractional Fokker-Planck equations and artificial neural networks for stochastic control of tokamak}, keyword = {KAM theory, tokamak, stochastic control} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus

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