28944nam#a2202473#i#4500001000500000005001700005008004000022020002300062044000900085080044200094084003900536084007300575100006800648100011000716245006500826260005400891300001200945500129500957510010302252510026802355510017302623510009802796510015102894510015003045510020403195510008603399510014303485510019503628510017103823510016203994510009904156510018304255510013004438510011504568510007004683510017004753510014404923510011605067510011005183510010805293510018905401510037205590510019905962510026606161510016506427510018406592510007006776510011506846510014606961510011807107510008107225510030407306510008207610510031707692510030708009510017708316510017608493510015708669510014408826510013808970510013209108510010809240510011609348510010809464510015109572510010809723510007809831510008709909510009009996510019110086510010410277510012410381510010810505510014110613510016410754510024310918510011011161510011911271510008111390510009811471510010211569510007911671510011911750510011511869510010311984510011012087510012312197510007912320510013112399510007012530510008112600510015912681510011012840510015512950510013213105510008513237510016313322510011213485510010013597510007613697510010313773510010513876510014013981510010714121510010314228510013214331510011614463510011714579510007814696510014014774510013014914510010515044510011415149510010215263510017415365510009815539510006715637510006915704510009815773510009515871510010315966510006916069510011116138510009416249510016016343510008716503510009216590510005916682510011416741510011116855510013016966510011217096510009517208510013217303510004217435510011817477510010017595510023417695510012717929510009218056510007518148510016418223510027018387510019818657510014418855510033218999510032019331510031619651510031519967510025320282510011220535510008120647510006020728510009420788510010120882510007920983510010621062510008221168510021521250510012121465510007921586510008421665510009621749510015921845510013222004510013122136510013522267510009522402510006222497510008522559510012422644510006322768510013422831510010722965510011323072510009823185510010923283510012623392510010523518510007723623510008823700510008923788510013023877510014624007510013024153510010524283510014324388510011424531510009124645510006624736510014824802510013324950510009525083510008225178510014425260510015625404510006825560510005625628510006725684510008325751510009725834510009125931510011926022510006926141510010626210510010226316533003326418856001926451261720240418220133.4  20221201d2022####ek#y0engy0150####ca##$a978-5-4268-0064-9##$axxu##$aРадиотехника. Техника электромагнитных колебаний. 621.37$aРаботы общего и обзорного характера. Общая теория связи. Кибернетика (теория информации и теория сигналов применительно к электросвязи). 621.391$aСлучайные процессы. Общие вопросы. 519.216##$aКибернетика. 32812bbk##$aМатематическое моделирование . 61542tbk#1$aButyrskiy, Evgeniy Yurievich$aSt. Petersburg State University#1$aMatveev, Alexandr Vladimirovich$aSaint Petersburg university of State fire service of EMERCOM of Russia00$aMathematical modeling of systems and processes$cMonography1#$aSaint-Petersburg$bStrategy of the Future$c2022##$a733 p.##$aThe monograph considers the fundamentals of systems theory and mathematical modeling using the principles of the systems approach. In the monograph, much attention is paid to set-theoretic, dynamic, as well as aggregative and combined models. Based on the group-theoretical approach, a generalization of the theory of signals, their characteristics are considered, their classification and some theorems are carried out. A separate chapter is devoted to mathematical models of signal interaction with the propagation medium. The monograph also considers mathematical models of stochastic signal processing and control systems based on spline filtering, artificial intelligence models and neural networks. The monograph can be useful for a wide range of specialists in various fields of knowledge dealing with mathematical modeling in their research, and can also be used as a teaching aid for conducting both classroom and independent theoretical and practical classes with bachelors, masters, graduate students in the discipline "System Theory and System Analysis", "Mathematical Modeling" and "Optimal and Suboptimal Estimation of Random Processes and Systems".$amathematical modeling, system analysis, systems theory, forecasting, random process, neural networks$a10.37468/book_0112220#$aElman J.L. Finding structure in time // Cognitive Sci. Ser. – 1990. – N 14. – P. 179–211.0#$aGatys L.A., Ecker A.S., Bethge M. Texture synthesis using convolutional neural networks // Proceedings of the 28th International Conference on Neural Information Processing Systems. – Volume 1. – Canada, Montreal: MIT Press Cambridge, 2015. – P. 262–270.0#$aHe K., Zhang X., Ren S., Sun J. Deep residual learning for image recognition // IEEE Conference on Computer Vision and Pattern Recognition. – 2016. – P. 770–778.0#$aHinton G. E. A practical guide to training restricted Boltzmann machines. – Toronto, 2010.0#$aHinton G. E., Osindero S., Teh Y. A fast learning algorithm for deep belief nets // Neural computation. – 2006. – № 18. – P. 1527–1554.0#$aHinton G., Salakhutdinov R. Reducing the dimensionality of data with neural networks // Science. – 2006. – № 313 (5786). – P. 504–507.0#$aIsola P., Zhu J. Y., Zhou T., Efros A. A. Image-to-Image Translation with Conditional Adversarial Networks // IEEE Conference on Computer Vision and Pattern Recognition. – 2017. – P. 5967–59760#$aKohonen T. Self-organization and associative memory. – Berlin: Springer, 1987.0#$aPractical and Secure DNN Inference with Enclaves [Elektronnyy resurs]. – Rezhim dostupa: https: //www.cs.toronto.edu/~kriz/ cifar.html.0#$aRedozubov A. Holographic memory: a novel model of information processing by neuronal microcircuits // The Physics of the Mind and Brain Disorders. – Cham: Springer, 2017. – P. 271–2950#$aSpringenberg J., Dosovitskiy A., Brox T., Riedmiller M. Striving for simplicity: The all convolutional net. arXiv: 1412. 6806, 2014. https://arxiv.org/abs/1412.6806.0#$aZeiler M. and Fergus R. Visualizing and understanding convolutional networks // Eurorean Conference on Computer Vision. – Springer, 2013. – rr. 818-833.0#$aAl'yanah I.N. Modelirovanie vychislitel'nyh sistem. – L.: Mashinostroenie, 1988. – 223 s.0#$aAntyuhov V.I. Sistemnyy analiz i prinyatie resheniy / V.I. Antyuhov [i dr.]; pod red. V.S. Artamonova. – SPb: Sankt-Peterburgskiy universitet GPS MChS Rossii, 2017. – 389 s.0#$aAnfilatov V.S., Emel'yanov A.A., Kukushkin A.A. Sistemnyy analiz v upravlenii. –M.: Finansy i statistika, 2003. – 267 s.0#$aArnol'd V. I. «Zhestkie» i «myagkie» matematicheskie modeli. – M.: Izdatel'stvo MCNMO, 2004. – 128 s.0#$aArnol'd V. I. Teoriya katastrof. – M.: Nauka, 1990. – 128 s.0#$aArtemenko M.V., Babkov A.S. Klassifikaciya metodov prognozirovaniya povedeniya sistem // Sovremennye problemy nauki i obrazovaniya. − 2013. − № 6. − S. 158.0#$aAfanas'ev V.N., Kolmanovskiy V.B., Nosov V.R. Matematicheskaya teoriya konstruirovaniya sistem upravleniya. – M.: Vysshaya shkola, 1989.0#$aBalashov E.P., Puzankov D.V. Proektirovanie informacionno-upravlyayuschih sistem. –M.: Radio i svyaz', 1987.0#$aBarskiy A.B. Neyronnye seti: raspoznavanie, upravlenie, prinyatie resheniy. –M.: Mir, 2004. – 175 s.0#$aBlauberg I.V., Yudin E.G. Stanovlenie i suschnost' sistemnogo podhoda. – M.: Nauka, 1973. – 269 s.0#$aBovbel' E.I. i dr. Nekotorye svoystva shirokopolosnoy funkcii neopredelennosti dlya determinirovannyh i stohasticheskih signalov // Zarubezhnaya radioelektronika. – 1977. – № 6.0#$aBogdanova E.M., Matveev A.V. Algoritm metoda adaptivnogo prognozirovaniya pozharov // Servis bezopasnosti v Rossii: opyt, problemy, perspektivy. Obespechenie kompleksnoy bezopasnosti zhiznedeyatel'nosti naseleniya: materialy Vserossiyskoy nauchno-prakticheskoy konferencii. 27 sentyabrya 2017. – SPb.: Sankt-Peterburgskiy universitet GPS MChS Rossii. – S. 94-97.0#$aBogdanova E.M., Matveev A.V. Klassifikaciya metodov prognozirovaniya chrezvychaynyh situaciy // Nacional'naya bezopasnost' i strategicheskoe planirovanie. – 2018. – № 4(24). – S. 61-70.0#$aBogdanova E.M., Matveev A.V. Modeli ARMA dlya prognozirovaniya dorozhno-transportnyh proisshestviy // Transport Rossii: problemy i perspektivy – 2018. Materialy Mezhdunarodnoy nauchno-prakticheskoy konferencii. Tom 2. – SPb.: IPT RAN, 2018. – S. 257-260.0#$aBoreckiy I.F., Pavlov V.G. Teoretiko-gruppovaya interpretaciya chuvstvitel'nosti gladkih dinamicheskih sistem // Avtomatika i telemehanika. – 1980. – №2.0#$aBochkov G.N., Gorohov K.V. Estestvennye i iskusstvennye struktury bispektrov sverhrazreshenie signalov // Trudy Nauchnoy konferencii po radiofizike. – NNGU, 2001. – S. 15-26.0#$aBrehovskih L.M. Akustika okeana. – M.: Nauka, 1974. – 694 s.0#$aBrehovskih L.M., Lysanov Yu.P. Teoreticheskie osnovy gidroakustiki. – L.: Gidrometeoizdat, 1982. – 284 s.0#$aBrokett. Nelineynye sistemy i differencial'naya geometriya TIIER // Noveyshie napravleniya v teorii sistem. – 1974. – T.64. – S.80-94.0#$aBrychkov Yu.A., Prudnikov A.P. Integral'nye preobrazovaniya obobschennyh funkciy. – M.: Nauka, 1977. – 226s.0#$aBurakov M.V. Neyroseti i neyrokontrollery. – SPb.: GUAP, 2013. – 282 s.0#$aBurlov V.G., Zenina E.A., Matveev A.V. Sintez modeli i sposobov funkcionirovaniya sistemy v usloviyah konflikta // Nauchno-tehnicheskie vedomosti Sankt-Peterburgskogo gosudarstvennogo politehnicheskogo universiteta. Informatika. Telekommunikacii. Upravlenie. – 2012. – № 3(150). – S. 72-79.0#$aBuslenko N.P. Modelirovanie slozhnyh sistem. – M.: Nauka, 1978. – 400 s.0#$aButyrskiy E.Yu. Vasil'ev V.V., Ponkratova K.I. Spline-Approximation in the Task Status Estimation of Nonlinear Dynamic Systems // Materialy mezhdunarodnoy nauchnoy konferencii «Konstruktivnyy negladkiy analiz i smezhnye voprosy». – SPb.: Mezhdunarodnyy matematicheskiy institut Eylera, 2017. – S. 494-497.0#$aButyrskiy E.Yu. Vasil'ev V.V., Ponkratova K.I. Suboptimal Administration in the Stochastic Nonlinear Dynamic Systems // Materialy mezhdunarodnoy nauchnoy konferencii «Konstruktivnyy negladkiy analiz i smezhnye voprosy». – SPb.: Mezhdunarodnyy matematicheskiy institut Eylera, 2017. – S. 135-138.0#$aButyrskiy E.Yu. Vasil'ev V.V., Ponkratova K.I. Lineynaya splayn-interpolyaciya v zadache obnaruzheniya signalov // Informaciya i kosmos. – 2017. – № 3. – S. 48-54.0#$aButyrskiy E.Yu. Vasil'ev V.V., Ponkratova K.I. Suboptimal'noe upravlenie v stohasticheskih nelineynyh sistemah // Informaciya i kosmos. – 2018. – № 1. – S. 66-44.0#$aButyrskiy E.Yu. i dr. Teoriya obnaruzheniya i poiska podvizhnyh ob'ektov. Monografiya / Pod redakciey V.V. Popovicha. – SPb.: Nauka, 2016. – 424 s.0#$aButyrskiy E.Yu. Matematicheskie modeli gidroakusticheskih signalov i metody ih obrabotki. – SPb.: Strategiya buduschego 2018. – 650 s.0#$aButyrskiy E.Yu. Metody modelirovaniya i ocenivanie sluchaynyh velichin i processov. – SPb: Strategiya buduschego, 2020. – 641 s.0#$aButyrskiy E.Yu. Metody obrabotki gidroakusticheskih signalov: Monografiya. – Palmarium Akademic Publishing, 2015. – 608 s.0#$aButyrskiy E.Yu. Modeli i eksperiment: monografiya. – Palmarium Akademic Publishing, 2012. – 667 s.0#$aButyrskiy E.Yu. Modelirovanie. Modeli i eksperiment. – Petrodvorec: VVMURE im. A.S. Popova, 2011. – 639 s.0#$aButyrskiy E.Yu. Modelirovanie. Osnovy teorii. – Petrodvorec: VVMURE im. A.S. Popova, 2009.– 609 s.0#$aButyrskiy E.Yu. Osnovnye ponyatiya teorii sistem i signalov na gruppah preobrazovaniy // Informaciya i kosmos. – 2007. – № 3. – S. 67-80.0#$aButyrskiy E.Yu. Osnovy imitacionnogo modelirovaniya. – Lambert Akademic Publishing, 2014. – 606 s.0#$aButyrskiy E.Yu. Osnovy modelirovaniya. – Petrodvorec, 2002. – 495 s.0#$aButyrskiy E.Yu. Osnovy optimal'nogo upravleniya. – Petrodvorec, 2004. –118 s.0#$aButyrskiy E.Yu. Osnovy teorii sistem: monografiya. – Petrodvorec, 2006. – 600 s.0#$aButyrskiy E.Yu. Rasprostranenie gidroakusticheskogo signala v neodnorodnom okeane // Fundamental'nye i prikladnye issledovaniya v sovremennom mire. – 2015. – № 10-4. – S. 32-42.0#$aButyrskiy E.Yu. Statisticheskoe modelirovanie. – Palmarium Akademic Publishing, 2013. – 325 s.0#$aButyrskiy E.Yu. Teoreticheskie osnovy modelirovaniya: Monografiya. – Palmarium Akademic Publishing, 2012. – 671 s.0#$aButyrskiy E.Yu. Teoriya sistem i sistemnyy analiz. – Palmarium Akademic Publishing, 2012. – 613 s.0#$aButyrskiy E.Yu. Funkciya neopredelennosti signalov na gruppe preobrazovaniy // Informaciya i kosmos. – 2009. – № 3. – S. 31-39.0#$aButyrskiy E.Yu. Modeli sistem i signalov, inducirovannye preobrazovaniyami vremeni // Nauchnoe priborostroenie. – 2011. – T.21. – № 1. – S. 128-136.0#$aButyrskiy E.Yu., Dolbiev S.P., Ivanov N.A. Metod obnaruzheniya shirokopolosnyh signalov v usloviyah real'nogo akusticheskogo kanala // Materialy 3 go Vsesoyuznogo seminara «Modeli, algoritmy, prinyatie resheniy». – M.: AN SSSR, 1991.0#$aVakman D.E. Slozhnye signaly i princip neopredelennosti v radiolokacii. M., Sov. radio, 1965, – 304 s.0#$aVakulenko S.A. Zhihareva A.A. Prakticheskiy kurs po neyronnym setyam. – SPb.: Universitet ITMO, 2018. – 71 s.0#$aVarakin L.E. Teoriya slozhnyh signalov. – M.: Sov. radio, 1970. –375 s.0#$aVenikov V.A., Venikov G.V. Teoriya podobiya i modelirovaniya. – M.: Vysshaya shkola, 1984.0#$aVilenkin N.Ya. Special'nye funkcii i teoriya predstavleniya grupp. : M.: Nauka, 1965. – 587 s.0#$aViner N. Kibernetika i obschestvo. – M.: Inostrannaya literatura, 1958.0#$aViner N. Kibernetika: upravlenie i svyaz' v zhivotnom i mashine (vtoroe izdanie). – M.: Nauka, 1983. – 344 s.0#$aVinogradov Yu.B. Matematicheskoe modelirovanie v gidrologii. – Vologda: Infra-Inzheneriya, 2010. – 304 c.0#$aVolkova V.N., Denisov A.A. Ierarhicheskie sistemy: uchebnoe posobie. – L.: LPI, 1989. – 88 s.0#$aVolkova V.N., Denisov A.A. Osnovy teorii sistem i sistemnogo analiza. – SPb.: SPbGTU, 1999. – 512 s.0#$aVorob'ev S.N. Statisticheskoe modelirovanie informacionnyh sistem: Uchebnoe posobie. – SPb.: GUAP, 2010. – 152 c.0#$aVunsh G. Teoriya sistem / Per.s nem. – M.: Sov. radio, 1978. – 288 s.0#$aVysockiy L.I. i dr. Matematicheskoe i fizicheskoe modelirovanie potencial'nyh techeniy zhidkosti. SPb.: Lan', 2014. – 64 c.0#$aGagin V. Sistemnyy analiz («Lezvie zhizni»). – Odessa, 2001.0#$aGalushkin A.I. Neyronnye seti: osnovy teorii. – M.: RiS, 2014. – 496 c.0#$aGalushkin, A.I. Neyronnye seti: istoriya razvitiya teorii: Uchebnoe posobie dlya vuzov. / A.I. Galushkin, Ya.Z. Cypkin. – M.: Al'yans, 2015. – 840 c.0#$aGel'fand I.M, Shilov G.E. Obobschennye funkcii i deystviya nad nimi. – M.: Fizmatgiz, 1953. – 470 s.0#$aGel'fand I.M., Graev M.I., Vilenkin N.Ya. Integral'naya geometriya i svyazannye s ney vrprsy teorii predstavleniy. – M.: Fizmatgiz, 1962. – 655s.0#$aGel'fand I.M., Graev M.I., Pyateckiy-Shapiro I.I. Teoriya predstavleniy i avtomorfnye funkcii. – M.: Nauka, 1966. – 511 s.0#$aGlushkov V.M. Vvedenie v kibernetiku. – Kiev: Izd-vo AN USSR, 1964. – 324s.0#$aGolovko V.A. Ot mnogosloynyh perseptronov k neyronnym setyam glubokogo doveriya: paradigmy obucheniya i primenenie: lekcii po neyroinformatike. – M., 2015.0#$aGolovko V.A. Krasnoproshin V.V. Neyrosetevye tehnologii obrabotki dannyh. – Minsk: BGU, 2017. – 263 s.0#$aGolubeva N.V. Matematicheskoe modelirovanie sistem i processov. – SPb.: Lan', 2013. – 192.0#$aGorban' A.N. Obuchenie neyronnyh setey. – M.: SP «Paragraf», 1990.0#$aGorban' A.N., Rossiev D.A. Neyronnye seti na personal'nom komp'yutere. Novosi-birsk: Nauka, 1996.0#$aGorban' A.N., Rossiev D.A. Neyronnye seti na personal'nom komp'yutere. –Novosibirsk: Nauka, 1996.0#$aGorlach B.A., Shahov V.G. Matematicheskoe modelirovanie. Postroenie modeley i chislennaya realizaciya. – SPb.: Lan', 2016. –292 c.0#$aGul'tyaev A.N. MATLAB 5.2. Imitacionnoe modelirovanie v srede Windows. – SPb.: Korona print., 1999.0#$aDruzhinin V.V., Kontorov D.S. Voprosy voennoy sistemotehniki. – M.: Voenizdat, 1976. – 224 s.0#$aDushkin A.V. i dr. Modelirovanie sistem upravleniya i informacionno-tehnicheskogo obespecheniya. – M.: RiS, 2015. – 192 c.0#$aDyatlov A.P., Dyatlov P.A. Analiz i modelirovanie obnaruzhiteley signalov. – Taganrog: TRGU, 2002. – 82 s.0#$aEgorenkov D.L. i dr. Osnovy matematicheskogo modelirovaniya s primerami na yazyke MATLAB. – SPb.: BGTU, 1994.0#$aElizarov I.A. Modelirovanie sistem. – St. Oskol: TNT, 2013. – 136 c.0#$aElkin V.I. Redukciya nelineynyh upravlyaemyh sistem. Dekompoziciya i invariantnost' po vozmuscheniyam. – M.: Fazis, 2003. – 207 s.0#$aElkin V.I. Redukciya nelineynyh upravlyaemyh sistem. Differencial'no-geometricheskiy podhod. – M.: Nauka, 1997. – 320 s.0#$aZhirkov A.M. Matematicheskoe modelirovanie sistem i processov. – SPb.: Lan' KPT, 2016. – 192 c.0#$aZaycevskiy I.V., Sviridov A.P., Slesarev D.A. Neyronnye seti i ih prilozheniya. – M.: MEI, 2002. – 95 s.0#$aZarubin V.S. Matematicheskoe modelirovanie v tehnike. – M.: MGTU im. Baumana, 2010. – 496 c.0#$aZubarev, Yu.M., Kosarevskiy S.V. Matematicheskoe modelirovanie mnogoagentnyh sistem konkurencii i kooperacii (Teoriya igr dlya vseh). – SPb.: Lan' P, 2016. – 624 c.0#$aIbragimov N.H. Gruppy preobrazovaniy matematicheskoy fiziki. – M.: Nauka, 1983. – 280 s.0#$aIbragimov N.H. Opyt gruppovogo analiza. – M.: Znanie, 1991.0#$aIbragimov N.H. Azbuka gruppovogo analiza. – M., Znanie, 1989.0#$aKaziev V.M. i dr. Vvedenie v analiz, sintez i modelirovanie sistem. – M., 2014. – 244 c.0#$aKalman R., Falb P., Arbib M. Ocherki po matematicheskoy teorii sistem. – M.: Mir, 1971.0#$aKanasevich E.R. Analiz vremennyh posledovatel'nostey v geofizike. – M.: Nedra, 1986. – 399 s.0#$aKveyd F. Analiz slozhnyh sistem. – M.: Sov. Radio. – 519 s.0#$aKeller Dzh.B., Papadakis Dzh.S. Rasprostranenie voln i podvodnaya akustika. – M.: Mir, 1980. – 229 s.0#$aKleschev A.A., Klyukin I.I. Osnovy gidroakustiki. – L.: Sudostroenie, 1987. – 221 s.0#$aKlir Dzh. Sistemologiya. Avtomatizaciya resheniya sistemnyh zadach / Per. s angl. M.A.Zueva; Pod red. A.I.Gorlina. – M.: Radio i svyaz', 1990. – 540s.0#$aKlyukin V.I., Pivovarova R.P. Neyronnye seti. – Voronezh: VGU, 1994. – 224 s.0#$aKomarcova L.G., Maksimov A.V. Neyrokomp'yutery. – M.: Izd-vo MGTU im. Baumana, 2002.0#$aKohonen T. Associativnaya pamyat'. – M.: Mir, 1980.0#$aKrasov A.V. i dr. Modelirovanie sistem upravleniya / Pod red. S.E. Dushin. – M.: Student, 2012. – 348 c.0#$aKrasovskiy A.A. i dr. Spravochnik po teorii avtomaticheskogo upravleniya. – M.: Nauka, 1987. – 711 s.0#$aKrylov S.M. Formal'no-tehnologicheskie modeli v obschey teorii sistem // Izvestiya SNC RAN. – 2003. – T.5. – S. 83-90.0#$aKuk Ch., Bernfel'd M. Radiolokacionnye signaly. Teoriya i primenenie. – M.: Sov. Radio, 1971. – 565 s.0#$aLevi P. Stohasticheskie processy i brounovskoe dvizhenie. – M.: Nauka, 1972. – 375 s.0#$aLevin B.R., Shvarc V. Veroyatnostnye modeli i metody v sistemah svyazi i upravleniya. – M.: Radio i svyaz', 1985. – 212 s.0#$aLeng S. SL(2, R). – M.: Mir, 1977.0#$aLitvin A.V Modelirovanie biologicheskih processov i sistem. – Rostov-na-Donu: Izd.centr DGTU, 2009. – 143 c.0#$aLyuger Dzh.F. Iskusstvennyy intellekt. – M.: Izdatel'skiy dom «Vil'yams», 2005. – 864 s.0#$aMaksimov A.V., Matveev A.V. Teoreticheskie osnovy modelirovaniya bezopasnosti social'no-ekonomicheskih sistem // Prirodnye i tehnogennye riski (fiziko-matematicheskie i prikladnye aspekty). – 2014. – № 4(12). – S. 46-53.0#$aMalyh A.A. i dr. Sovremennyy gruppovoy analiz: Metody i prilozheniya. – L.: Akademiya nauk SSSR, LIIAN, 1989. – 63 s.0#$aMalyhin V.I. Matematicheskoe modelirovanie ekonomiki. – M.: Lenand, 2014. – 216 c.0#$aMal'cev A.I. Algebraicheskie sistemy. – M.: Nauka, 1970. – 392 s.0#$aMamontov D.V., Seleznev S.V. Klassifikaciya metodov i modeley prognozirovaniya // Ustoychivoe razvitie gornyh territoriy. – 2014. − № 1. − S. 51–55.0#$aMatveev A. V. Matematicheskoe modelirovanie ocenki effektivnosti mer protiv rasprostraneniya epidemii COVID-19 // Nacional'naya bezopasnost' i strategicheskoe planirovanie. – 2020. – № 1(29). – S. 23-39. DOI: https://doi.org/10.37468/2307-1400-2020-1-23-390#$aMatveev A.V. Algoritm assimilyacii dannyh pri adaptivnom prognozirovanii krizisnyh i chrezvychaynyh situaciy // Vestnik Voronezhskogo instituta FSIN Rossii. – 2021. – № 4. – S. 99-103.0#$aMatveev A.V. Metody modelirovaniya i prognozirovaniya. – SPb.: S.-Peterb. un-t GPS MChS Rossii, 2022. – 230 s. ISBN 978-5-907116-73-3.0#$aMatveev A.V., Bogdanova E.M. Formalizaciya modeli intellektual'noy podderzhki prinyatiya resheniy pri reagirovanii na chrezvychaynye situacii na transporte // Nauchno-analiticheskiy zhurnal «Vestnik Sankt-Peterburgskogo universiteta Gosudarstvennoy protivopozharnoy sluzhby MChS Rossii». – 2021. – № 2. – S. 100-107.0#$aMatveev A.V., Bogdanova E.M., Maksimov A.V. Informacionnaya sistema prognozirovaniya chrezvychaynyh situaciy pri ispol'zovanii adaptivnyh modeley // Nauchno-analiticheskiy zhurnal «Vestnik Sankt-Peterburgskogo universiteta Gosudarstvennoy protivopozharnoy sluzhby MChS Rossii». – 2019. – № 2. – s. 66-71.0#$aMatveev A.V., Kotkova E.A. Metodika intellektual'nogo prognozirovaniya effektivnosti upravleniya evakuaciey lyudey iz obschestvennyh zdaniy // Nauchno-analiticheskiy zhurnal «Vestnik Sankt-Peterburgskogo universiteta Gosudarstvennoy protivopozharnoy sluzhby MChS Rossii». – 2021. – № 4. – S. 109-120.0#$aMatveev A.V., Magulyan G.G., Burlov V.G. Obschiy podhod k modelirovaniyu sistem obespecheniya bezopasnosti // Nauchno-tehnicheskie vedomosti Sankt-Peterburgskogo gosudarstvennogo politehnicheskogo universiteta. Informatika. Telekommunikacii. Upravlenie. – 2011. – № 5(133). – S. 73-76. – EDN OYOQCT.0#$aMatveev A.V., Matveev V.V., Potapov B.V. Osnovy teorii analiza i upravleniya riskom vozniknoveniya chrezvychaynyh situaciy: monografiya v 2 T. – SPb.: Sankt-Peterburgskiy gosudarstvennyy politehnicheskiy universitet, 2003. – 407 s. EDN: ZBTTWN0#$aMesarovich M., Takahara Ya. Obschaya teoriya sistem, matematicheskie osnovy. – M.: Mir, 1978. – 311 s.0#$aMiller U. Simmetriya i razdelenie peremennyh. – M.: Mir, 1981. – 342 s.0#$aMinskiy M., Paypert S. Perseptrony. – M.: Mir, 1971.0#$aMoiseev N.N. Matematicheskie zadachi sistemnogo analiza. – M.: Nauka, 1981. – 488 s.0#$aMorozov V.K., Dolganov A.V. Osnovy teorii informacionnyh sistem. – M.: Vysshaya shkola, 1987.0#$aNikolis G, Prigozhin I. Poznanie slozhnogo. – M.: Mir, 1990. – 344 s.0#$aOsovskiy S. Neyronnye seti dlya obrabotki informacii. – M.: Finansy i Statistika, 2002. – 344 s.0#$aOstreykovskiy V.A. Teoriya sistem. – M.: Vysshaya shkola, 1997. – 240 s.0#$aPariyskaya E.Yu. Sravnitel'nyy analiz matematicheskih modeley i podhodov k modelirovaniyu nepreryvno-diskretnyh sistem // Differencial'nye uravneniya i processy upravleniya. – 1997. – № 1. – S. 91-120.0#$aPetrovskiy I.G. Lekcii po teorii obyknovennyh differencial'nyh uravneniy. Izd. 6-e. – M.: Nauka, 1970. – 279 s.0#$aPeshel' M. Modelirovanie signalov i sistem. – M.: Mir, 1981. – 300 s.0#$aPodvodnaya akustika i obrabotka signalov / Pod red. B'erne. – M.: Mir, 1983.0#$aPospelov D.A. Situacionnoe upravlenie: teoriya i praktika. – M.: Nauka, 1986. – 200 s.0#$aPrantishvili I.V., Paschenko F.F., Busygin B.P. Sistemnye zakony i zakonomernosti v elektrodinamike prirode i obschestve. – M.: Nauka, 2001. – 525 s.0#$aPrigozhin I., Stengers I. Poryadok iz haosa: Novyy dialog cheloveka s prirodoy / Per.s angl. – M.: Progress, 1986. – 432s.0#$aPrincipy model'noy deyatel'nosti operatora. – M.: Moskovskiy institut radiotehniki, elektroniki i avtomatiki (MIREA), 2003.0#$aRed'ko V.G. Evolyuciya, neyronnye seti, intellekt: Modeli i koncepcii evolyucionnoy kibernetiki. – M.: Lenand, 2015. – 224 c.0#$aReznikov B.L. Sistemnyy analiz i metody sistemotehniki. – M.: MO SSSR, 1990. – 522 s.0#$aRozenblatt F. Principy neyrodinamiki. – M.: Mir, 1965.0#$aSadovskiy V.N. Osnovaniya obschey teorii sistem. – M.: Nauka, 1974. – 280s.0#$aSamarskiy A.A., Mihaylov A.P. Matematicheskoe modelirovanie: Idei, Metody. Primery. – M.: Fizmatlit,1997. – 320 s.0#$aSanto Dzh. Akustika okeana. – M.: Mir, 1982. − 318 s.0#$aSaprykin V.A., Rokotov S.P. Teoriya gidroakustiki i cifrovaya obrabotka signalov. – Petrodvorec: VVMURE im. A.S. Popova, 1991.0#$aSistemnyy analiz i prinyatie resheniy. Slovar'-spravochnik. – M.: Vysshaya shkola, 2004. – 614 s.0#$aSmoktiy O.I., Fabrikov V.A. Metody teorii sistem i preobrazovaniy v optike. – L.: Nauka, 1989. – 308 s.0#$aSovetov B.Ya., Yakovlev S.A. Modelirovanie sistem. – M.: Vysshaya shkola, 1996. – 321 s.0#$aSovetov B.Ya., Yakovlev S.A. Modelirovanie sistem. Praktikum. – M.: Vysshaya shkola, 1999. – 224 s.0#$aSonki S.M. Matematicheskoe i fizicheskoe modelirovanie potencial'nyh techeniy zhidkosti. – SPb.: Lan', 2014. – 64 c.0#$aSpravochnik po gidroakustike / Pod redakciey Kolesnikova V.G. – L.: Sudostroenie, 1988. –550 s.0#$aStashkevich A.P. Akustika morya. – L.: Sudostroenie, 1966. − 356 s.0#$aTatarskiy V.I. Rasprostranenie voln v turbulentnoy atmosfere. – M.: Nauka, 1967.0#$aTeoriya informacionnyh sistem. Kurs lekciy. – Ekaterenburg: UGTU, 2000. – 94 s.0#$aTeoriya sistem. Matematicheskie metody i modelirovanie / Cb. statey pod red. A. Kolmogorova, S. Novikova. – M.: Mir, 1989.0#$aTerehov V. A., Efimov D. V., Tyukin I. Yu. Neyrosetevye sistemy upravleniya. Obschaya red. A.I. Galushkina. – M.: IPRZhR, 2002. – 480 s.0#$aTerehov V. A., Efimov D. V., Tyukin I. Yu., Antonov V.N. Neyrosetevye sistemy upravleniya. – SPb.: SPbGU, 1999. – 263 s.0#$aTihonov A.N., Samarskiy A.A. Uravneniya matematicheskoy fiziki. – M.: Fizmatlit, 1972. – 735 s.0#$aTihonov V.I., Harisov V.N. Statisticheskiy analiz i sintez radiotehnicheskih ustroystv i sistem. – M.: Radio i svyaz', 1991. – 608 s.0#$aTihonov E.E. Metody prognozirovaniya v usloviyah rynka: uchebnoe posobie. – Nevinnomyssk, 2006. – 221 s.0#$aUemov A.I. Sistemnyy podhod i obschaya teoriya sistem. – M.: Mysl', 1978. –172 s.0#$aUossermen F. Neyrokomp'yuternaya tehnika. – M.: Mir, 1992.0#$aUrmancev Yu.A. Obschaya teoriya sistem: sostoyanie, prilozheniya i perspektivy razvitiya. Sistema, simmetriya, garmoniya. – M.: Mysl', 1988.0#$aUstenko A.S. Osnovy matematicheskogo modelirovaniya i algoritmizacii processov funkcionirovaniya slozhnyh sistem. – M., 2002.0#$aFlatte S. Rasprostranenie zvuka vo fluktuiruyuschem okeane. – M.: Mir, 1982. – 336 s.0#$aFleyshman B.S. Osnovy sistemologii. – M.: Radio i svyaz', 1982. – 360 s.0#$aFon Bertalanfi L. Istoriya i status obschey teorii sistem / V kn.: Sistemnye issledovaniya: Ezhegodnik. – M.: Nauka, 1973. – s. 20-27.0#$aFon Bertalanfi L. Obschaya teoriya sistem – kriticheskiy obzor / V kn.: Issledovaniya po obschey teorii sistem. – M.: Progress, 1969. – s.23-82.0#$aHaykin S. Neyronnye seti. – M.: Izd. dom «Vil'yams», 2006.0#$aHaken G. Sinergetika. – M.: Mir, 1980. – 408s.0#$aHida T. Brounovskoe dvizhenie. – M., Nauka, 1987. – 303s.0#$aCvirkun A.D. Osnovy sinteza i struktury slozhnyh sistem. – M.: Nauka, 1982.0#$aCharu Aggarval. Neyronnye seti i glubokoe obuchenie. – SPb.: Dialektika, 2020. – 744 s.0#$aShreyder Yu.A., Sharov A.A. Sistemy i modeli. – M.: Radio i svyaz', 1982. – 152s.0#$aEl'sgol'c L. E. Differencial'nye uravneniya i variacionnoe ischislenie. Izd. 2-e. – M.: Nauka, 1969. – 424 s.0#$aEshbi U.R. Vvedenie v kibernetiku. – M.: IL, 1959. – 432 s.0#$aYakovlev A.N., G.P. Kablov Gidrolokatory blizhnego deystviya. – L.: Sudostroenie, 1983. – 200 s.0#$aYasnickiy L.N. Intellektual'nye sistemy: uchebnik. – M.: Laboratoriya znaniy, 2016. – 221 s.##$aThere is an electronic copy4#$afuturepubl.ru