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@article{SJVM_2005_8_1_a4, author = {A. V. Kretinin}, title = {Forming a~neuronet database for perceptrons structure optimization}, journal = {Sibirskij \v{z}urnal vy\v{c}islitelʹnoj matematiki}, pages = {43--55}, publisher = {mathdoc}, volume = {8}, number = {1}, year = {2005}, language = {ru}, url = {http://geodesic.mathdoc.fr/item/SJVM_2005_8_1_a4/} }
A. V. Kretinin. Forming a~neuronet database for perceptrons structure optimization. Sibirskij žurnal vyčislitelʹnoj matematiki, Tome 8 (2005) no. 1, pp. 43-55. http://geodesic.mathdoc.fr/item/SJVM_2005_8_1_a4/
[1] Dyakonov V. B., Matematicheskie pakety rasshireniya MATLAB. Spetsialnyi spravochnik, eds. V. B. Dyakonov, V. A. Kruglov, Piter, SPb., 2001
[2] Neironnye seti, Per. s angl., Goryachaya liniya – Telekom, M., 2000
[3] Voronovskii G. L., Geneticheskie algoritmy, iskusstvennye neironnye seti i problemy virtualnoi realnosti, eds. G. K. Voronovskii, K. V. Makhotilo, S. N. Petrashev, S. A. Sergeev, Osnova, Kharkov, 1997
[4] Nabkhan T. N., Zomaya A., O problemakh sozdaniya neirosetevykh struktur dlya optimizatsii funktsionirovaniya, http://neuroschool.narod.ru/optbpa.pdf
[5] Statnikov R. B., Matusov I. B., Mnogokriterialnoe proektirovanie mashin, Znanie, M., 1989 | MR
[6] Egorov I. N., Kretinin G. V., Matusov I. B., Statnikov R. B., “Zadachi proektirovaniya i mnogokriterialnogo upravleniya reguliruemykh tekhnicheskikh sistem”, Dokl. AN RF, 359:3 (1998), 330–333
[7] Terekhov S. A., Vvedenie v baiesovy seti / Nauchnaya sessiya MIFI-2003, V Vserossiiskaya konferentsiya “Neiroinformatika-2003”: Lektsii po neiroinformatike. Chast 1, MIFI, M., 2003
[8] Shumskii S. A., Baiesova regulyarizatsiya obucheniya / Nauchnaya sessiya MIFI-2003, V Vserossiiskaya konferentsiya “Neiroinformatika-2003”: Lektsii po neiroinformatike. Chast 2, MIFI, M., 2003
[9] Bishop C. M., Neural networks for pattern recognition, Oxford University Press, Oxford, 1995 | MR
[10] Elektronnyi uchebnik po statistike, , Moskva, 1999 http://www.statsoft.ru /home/textbook/default.htm
[11] MacKay D. J. C., “Bayesian Interpolation”, Neural Computation, 4:3 (1992), 415–447 | DOI
[12] Sevastyanov A. A., Kharintsev S. S., Salakhov M. Kh., “Neirosetevaya regulyarizatsiya resheniya obratnykh nekorrektnykh zadach prikladnoi spektroskopii”, Elektronnyi zhurnal “Issledovano v Rossii”
[13] Rumelhart D. E., Hinton G. E., Williams R. J., “Learning representation by back-propagating errors”, Nature, 323 (1986), 533–536 | DOI
[14] Akima H., “A new method of interpolation and smooth curve fitting based on local procedures”, ACM, 17:4 (1970), 589–602 | DOI | Zbl