On approaches to modeling regional economic systems of cluster type
Modelirovanie i analiz informacionnyh sistem, Tome 15 (2008) no. 1, pp. 51-62.

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Some approaches to modeling clusters as complex economic systems are considered. At the regional level, it is offered to use a model of cluster development forecasting, based on the interaction of an enterprise with the industrial cluster. The model is recommended to be completed by the functioning efficiency analysis of the formed cluster.
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A. B. Drozdov; N. V. Drozdova. On approaches to modeling regional economic systems of cluster type. Modelirovanie i analiz informacionnyh sistem, Tome 15 (2008) no. 1, pp. 51-62. http://geodesic.mathdoc.fr/item/MAIS_2008_15_1_a8/

[1] Dzh.-O. Kim, Ch. U. Myuller, U. R. Klekka, Faktornyi, diskriminantnyi i klasternyi analiz, per. s angl., ed. I. S. Enyukov, Finansy i statistika, M., 1989, 215 pp.

[2] L. S. Markov, M. A. Yagolnitser, Ekonomicheskie klastery: identifikatsiya i otsenka effektivnosti deyatelnosti, IEOPP SO RAN, Novosibirsk, 2006, 88 pp.

[3] S. M. Tskhai, Zadachi kalendarnogo planirovaniya na seti slozhnoi struktury, NTU, Novosibirsk, 1991, 148 pp.

[4] L. P. Steblyakova, Analiz i otsenka strukturnykh izmenenii v mashinostroitelnom komplekse (regionalnyi i vnutriproizvodstvennyi aspekty): Uchebnoe posobie, KarGTU, Karaganda, 2002

[5] K. A. Bagrinovskii, M. K. Isaeva, “Imitatsionnoe modelirovanie vliyaniya investitsionnoi politiki na tekhnologicheskoe razvitie”, Mikroekonomicheskie predposylki ekonomicheskogo rosta, Sb. statei, 2, ed. G. B. Kleiner, TsEMI RAN, M., 2003

[6] M. L. Krichevskii, Intellektualnye metody v menedzhmente, Piter, SPb., 2005

[7] G. K. Voronovskii, K. V. Makhotilo, S. N. Petrashev, S. A. Sergeev, Geneticheskie algoritmy, iskusstvennye neironnye seti i problemy virtualnoi realnosti, Osnova, Kharkov, 1997

[8] I. Aleksander, H. Morton, An Introduction to Neural Computing, Chapman Hall, London, 1990, 218 pp.

[9] W. R. Ashby, Design for a Brain, Wiley, New York, 1952, 306 pp.

[10] K. Swingler, Applying Neural Networks. A practical Guide, per. s angl. Yu. P. Masloboeva http://matlab.exponenta.ru/

[11] T. V. Tsikhan, “Klasternaya teoriya ekonomicheskogo razvitiya”, Teoriya i praktika upravleniya, 2003, no. 5

[12] M. Porter, Konkurentsiya, per. s angl., Vilyams, M., 2002, 496 pp.

[13] L. E. Basovskii, Prognozirovanie i planirovanie v usloviyakh rynka, Uchebnoe posobie, INFRA-M, M., 2003, 260 pp.

[14] N. N. Bulatova, Formirovanie regionalnogo promyshlenno-transportnogo kompleksa klasternogo tipa, Politekhn. un-t, SPb., 2005

[15] A. S. Solodovnikov, V. A. Babaitsev, A. V. Brailov, Matematika v ekonomike, Uchebnik, Finansy i statistika, M., 1998, 224 pp.

[16] I. I. Eliseeva, Ekonometrika, Finansy i statistika, M., 2001, 342 pp.