THE MODEL OF OBJECTS’ SORTING PROCESS BY USING NEURO APPROACH

Jaroslav Lotysz

jaropost@gmail.com
Łucki Narodowy Uniwersytet Techniczny, Wydział Automatycznego Sterowania Procesami Produkcyjnymi (Ukraine)

Abstract

Imitational sorting computer models with ordinary operating regime and with neurooperating regime are proposed in the article. On the basis of the model the algorithm is developed and the software is received, which realizes the system of sorting operating of the objects by using neuro approaches.


Keywords:

automatic control, neural networks, computer simulation

Baskanova T. F., Lankyn Yu. P.: Neyrosetevye alhorytmy samostoyatelʹnoy adaptatsyy. Sbornyk nauchnykh trudov: Vserossyyskaya nauchno-tekhnycheskaya konferentsyya "Neyroynformatyka-99". CH. 1, 1999, 17–24.
  Google Scholar

Dorohov A. Yu., Alekseev A. A.: Matematycheskye modely bystrykh neyronnykh setey. V sb. nauchn. tr. "Systemy upravlenyya y obrabotky ynformatsyy". Vyp. 490, 1996.
  Google Scholar

Gill P. E., Murray W., Wright M. H.: Practical Optimization, Academic Press, New York 1981.
  Google Scholar

Hopfield J.: Neural networks and physical systems with emergent collective computational abilities, Proceedings of National Academy of Sciences, vol. 79 no. 8, 2554–2558.
  Google Scholar

Loskutov A. YU., Mykhaylov A. S.: Vvedenye v synerhetyku, Nauka, Moskva 1990.
  Google Scholar

Mkrtchyan C. O.: Neyrony y neyronnye sety (Vvedenye v teoryyu formalʹnykh neyronov), Énerhyya, Moskva 1971.
  Google Scholar

Muller В., Reinhardt J.: Neural Networks. An introduction, Springer-Verlag, Berlin 1991.
  Google Scholar

Surovtsev Y. S., Klyukyn V. Y., Pyvovarova R. P.: Neyronnye sety, VHU, Voronezh 1994.
  Google Scholar

Volʹkenshteyn M. B.: Byofyzyka: Ucheb. rukovodstvo, Nauka, Moskva 1988.
  Google Scholar

Wasseman P. D.: Neural computing: theory and practice, Van Nostrand Reinhold Co., New York 1989.
  Google Scholar

Analysis of cryptographic algorithms on neural networks: http://scsp.org.ua/files/spring/2010/Olga_Provotar-Analysis_of_cryptographic_algorithms_on_neural_networks.pdf
  Google Scholar

BaseGroup Labs: http://www.basegroup.ru/
  Google Scholar

Vykypedyya. Neyronnaya setʹ Khopfylda: https://ru.wikipedia.org/wiki/%D0%9D%D0%B5%D0%B9%D1%80%D0%BE%D0%BD%D0%BD%D0%B0%D1%8F_%D1%81%D0%B5%D1%82%D1%8C_%D0%A5%D0%BE%D0%BF%D1%84%D0%B8%D0%BB%D0%B4%D0%B0
  Google Scholar

Yspolʹzovanye alhorytma obratnoho rasprostranenyya oshybky: http://sernam.ru/book_gen.php?id=69
  Google Scholar

Neyronnaya setʹ Khopfylda y ee prymenenye: http://iasa.org.ua/lections/tpr/neuro/hopfield.htm
  Google Scholar


Published
2015-10-28

Cited by

Lotysz, J. . (2015). THE MODEL OF OBJECTS’ SORTING PROCESS BY USING NEURO APPROACH. Informatyka, Automatyka, Pomiary W Gospodarce I Ochronie Środowiska, 5(4), 92–98. https://doi.org/10.5604/20830157.1176582

Authors

Jaroslav Lotysz 
jaropost@gmail.com
Łucki Narodowy Uniwersytet Techniczny, Wydział Automatycznego Sterowania Procesami Produkcyjnymi Ukraine

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