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Prospects of neural networks in business models

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
In the article the analysis of existing protective coatings. Presents an algorithm synthesis of protective coating against electromagnetic radiation. The article is devoted to the problem of determining the prospects for the use of neural networks in business models. The possibilities for this most classical types of architecture of neural net-works. A number of conditions which allows you to determine the feasibility of a particular type of neural network. It is shown that the development of business models neural networks should be used only to solve those tasks that belong to a class of pattern recognition, and optimal management of associative memory. It was determined that the greatest practical effect can be expected in the application of neural networks in the classification of sensory information outlines business models.
Rocznik
Strony
1539--1545, CD
Opis fizyczny
Bibliogr. 10 poz., tab., rys.
Twórcy
  • National Aviation University, 1 Kosmonavta Komarova Ave, Kyiv, 03058 Ukraine
autor
  • State Higher Vocational School in Nowy Sacz, 1 Staszica St, Nowy Sącz, 33-300 Poland
  • State Higher Vocational School in Nowy Sacz, 1 Staszica St, Nowy Sącz, 33-300 Poland
Bibliografia
  • 1. Barskyy A. B. neural network: raspoznavanye, control, decisions Adoption - Moscow: Finance and Statistics, 2012. - 176 pp.
  • 2. Halushkyn A.I.Theory neyronnыh networks. - Moscow: YPRZHR, 2000. - 416 p.
  • 3. Yezhov A.A., Shumskyy S.A. Neyrokompyutynh and ego use in economy and business. - M.: MiFi, 1998. - 224 pp.
  • 4. Callan R. Basic concept neyronnыh networks. - M.: Williams, 2003. - 288 p.
  • 5. Tereykovska L.A., Tereykovskyy I.A. Problem voice interaction in distance learning university. Managing the development of complex systems. - 2013. - Issue 13. - P. 157-161.
  • 6. Tereykovskyy I. Neural Networks in the media of information protection: monograph. - K.: PolihrafKonsaltynh. 2007. - 209 p.
  • 7. Reznik A.M "Non-Iterative Learning for Neural Networks" Proceedings International Joint Conference on Neural Networks, Washington DC, July 10-16, 1999, №548.
  • 8. Self-nonself fiscrimination in a computer / S. Forrest [et al.] // Proc. of 1994 IEEE Symp. on Research in Security and Priva-cy. – 1994. – P. 202-212.
  • 9. Shyrochin V. Adaptive security mechanisms for the computer networks based on risk analysis. (Mukhin V.) // Journal of Qa-fqaz University: AZN. Mathematics and Computer Science. – Num. 1, Vol. 1, 2013. – pp. 11 – 16.
  • 10. The Bro Network Security Monitor [Electronic resource] / The Bro Project. – Electronic data. – [USA] : The Bro Project, 2011. – Mode of access: World Wide Web. – URL: http://www.broids.org/. – Language: English. – Description based on home page (viewed on Oct. 20, 2012).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-ca7ef676-a689-4909-bbcd-2120df243ef6
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