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Software systems and computational methods
Reference:

Gulyakina N.A., Kuchinskaya-Parovaya I.I. The method of designing knowledge bases oriented neural networks

Abstract: the article reviews a technique of designing the knowledge base oriented neural networks represented by semantic networks. The technique is based on the appliance of a unified model of a neural network. A distinctive feature of the proposed design technique for processing the knowledge bases is in usage of a component approach and the libraries of compatible components of neural networks to reduce the labor contribution during the development, decrease the requirements for the qualification of developers and solve the problem of integration of neural network specific methods with other methods of representation and processing data in the development of hybrid intellectual systems.


Keywords:

Software, hybrid intelligent system, knowledge base, semantic network, model, neural network, method of design, component, library, specification.


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References
1. Shuklin D.E. Realizatsiya semanticheskoy neyronnoy seti i ob'ektno-setevoy bazy znaniy / Shu-klin D.E. // Intellektual'nye i mnogoprotsessornye sistemy-2005 // Materialy Mezhdunarod-noy nauchnoy konferentsii. T.
2. — Taganrog: Izd-vo TRTU, 2005. — S. 236-243. 2. Yarushkina N.G. Osnovy teorii nechetkikh i gibridnykh sistem / N.G. Yarushkina. — M.: Finansy i sta-tistika, 2004.
3. Yarushkina N.G. Gibridnye sistemy, osnovannye na myagkikh vychisleniyakh: Opredelenie, arkhitektu-ra, vozmozhnosti / N.G. Yarushkina // Programmnye produkty i sistemy. — ¹ 3. 2002.
4. Mirkes E.M. Neyrokomp'yuter. Proekt standarta / E.M. Mirkes. Novosibirsk: Nauka, 1999. — 337 s.
5. Komartsova L.G. Neyrokomp'yutery / L.G. Komartsova, A.V. Maksimov. — M.: Izd-vo MGTU im. N.E. Bau-mana, 2004. — 400 s.
6. Golovko V.A. Neyrointellekt: teoriya i primenenie. Kniga 1, 2: Organizatsiya i obuchenie neyron-nykh setey s pryamymi i obratnymi svyazyami / V.A. Golovko. — BrestIzd.BPI, 1999. — 264 s.
7. Uossermen F. Neyrokompyoternaya tekhnika: Teoriya i praktika / F. Uossermen. — M.: Mir, 1992. — 237 s.
8. Komartsova L.G. Problemy integratsii intellektual'nykh tekhnologiy v gibridnykh sistemakh / L.G. Komartsova // Nechetkie sistemy i myagkie vychisleniya, 2009. — S. 20-29.
9. Gavrilova T.A., Khoroshevskiy V.F. Bazy znaniy intellektual'nykh sistem: uchebnik / Gavrilova T.A. [i dr.]. — SPb.: Izd-vo «Piter», 2001.
10. Davydenko I.T. Razrabotka bazy znaniy intellektual'noy spravochnoy sistemy po geometrii // Informatsionnye sistemy i tekhnologii (IST’2010): materialy VIMezhdunar. Konf. — Minsk: A.N. Varaksin, 2010. — S. 462-466.
11. Marka D.A. Metodologiya strukturnogo analiza i proektirovaniya / D.A. Marka, K. MakGouen. — M.: MetaTekhnologiya, 1993. — 224 s.
12. Ivashenko V.P. Predstavlenie neyronnykh setey i sistem produktsiy v odnorodnykh semanticheskikh se-tyakh / V.P. Ivashenko // Izvestiya Belorusskoy inzhenernoy akademii. — ¹1(15), 2003. — S. 184-188.
13. Golenkov V.V. Predstavlenie i obrabotka znaniy v grafodinamicheskikh assotsiativnykh mashinakh / Golenkov V.V. [i dr.]; pod red. V.V. Golenkova. — Minsk, 2001. — 412 s.
14. Golenkov V.V., Gulyakina N.A. Grafodinamicheskie modeli parallel'noy obrabotki znaniy: prin-tsipy postroeniya, realizatsii i proektirovaniya. — V kn Mezhdunar. nauchn.-tekhn. konf. «Otkrytye semanticheskie tekhnologii proektirovaniya intellektual'nykh sistem» (OSTIS-2012). Materialy konf. [Minsk, 16-18 fevr. 2012 g.]. — Minsk: BGUIR, 2012. — S. 23-52.
15. Tarasov V.B. Ot mnogoagentnykh sistem k intellektual'nym organizatsiyam: filosofiya, psikhologiya, informatika. — M.: Editorial URSS, 2002. — 352 s.
16. Proekt OSTIS [Elektronnyy resurs]. Minsk, 2011. — Rezhim dostupa: http://ostis.net/. — Data do-stupa: 01.04.2013