Federal gosudarstvennoe uchebnoe predpriyatie Chair of the System of Artificial Intelligence

Additional literature
2001.- 192 p.
ispytaniya, primery prilojeniya: Dis. kand. phys.-mat. nauk / S. E. Gilev.
Krasnoyarsk, 1997. 187s. 24.Gorban A.N. Obobshchennaya approximation
theorem and vÿchislitelnÿe
kompilyatsii, in 2-x t. M .: Mir, 1978.
33.Serebryakov V.A., Galochkin M.P. Basic design of compilers.
1992.
26.Kallan R. Basic concepts of neural networks: Per.s angl. M.-L .: Williams, 2001.—
287 p. 27.Kalinin A.V., Podvalnyy S.L. Technology neyrosetevyx
translations. Publishing house: BXV-Petersburg, 2005.
proizvodstva znaniy iz dannyx. Vychislitelnyy tsentr SO RAN v g. Krasnoyarsk.
Krasnoyarsk, 1997. 12 p. (Rukopis dep. V VINITI 17.07.97, ÿ 2434-V97)
20.Uossermen F. Neyrokompyuternaya tekhnika / Uossermen F.- M .: Mir,
34.Opaleva E.A., Samoylenko V.P. Yazyki programming and methods
medicine: theory, methodology, instrumentation vnedrenie: Dis. doct. med. nauk /
D. A. Rossiev. Krasnoyarsk, 1995. 379 p.
teacher / L.A. Zhukov, N.V. Reshetnikova. Krasnoyarsk, 2005.- 168 p.
29.Rubtsov, D. V. Development of technology of application of artificial
21.Jukov, L.A. Parallel programming: Uchebnoe posobie dlya
studentov spetsialnostey 220300 i 220400, napravleniy 654600, 552800 vsex form
obucheniya / L. A. Zhukov. - Krasnoyarsk: SibGTU, 2004. - 116 p. 22.Jukov, L.A.
Formalization technology of application of neural networks s
raspredelÿnnyx vychisleniy: Monograph. Voronezh: Voronezh. gos. techn. un-t,
2004. 122 c. 28.Rossiev, D. A. Samoobuchayushchiesya neyrosetevÿe ekspertnye
sistemy v
23.Gilev, S. E. Training of neural networks: Methods, algorithms, tests
neyronnyx setey - Krasnoyarsk .: IVM SO RAN, 2000. - 69 p.
31.Terexov S.A. Texnologicheskie aspekty obucheniya neyrosetevyx mashin // V sb.
"Lectures on neuroinformatics". M .: MIFI, 2006.- S.13-73 32.Axo A., Ulman D.
Theory of syntactic analysis, translation i
neural networks in applied information systems: Avtoref. kand. techn. nauk / D. V.
Rubtsov. Barnaul, 2000. 30.Terexov S.A. Introductory lectures on theories and
practical applications
151
Machine Translated by Google

---

materials of the 14th international conference on neurokibernetics. Rostov-on-Don:
2005. (received to the press)
37.Xomich A.V. Decomposition task obucheniya neyronnyx setey s uchitelem
45.Jukov L.A., Reshetnikova N.V. Formalization technology application
trudov. Ch.1. M .: MIFI, 2005. - S.11-18.
neyrosetey // Neuroinformatika i ee prilojeniya: 5 Vserossiyskiy
arguments for the synthesis of sigmoid neurons / Sbornik
neyronnoy seti s uchitelem // Neuroinformatika-2005. Sbornik nauchnyx
yazÿkov programmirovaniya. M .: Mir, 1980. S.137-161
neyronnyx setey s primeneniem geneticheskix algoritmov / ÿ. V. Xomich, L. A.
Zhukov // Neuroinformatika — 2004: cb. nauch. statey. ch.2. / M .: MIFI, 2004. - p.
68-74.
registratsii programmy dlya EVM ÿ2005611168
44.Jukov L.A. Technology neyrosetevogo resheniya prikladnyx
39.Xomich A.V. Optimization topologii rekurrentnyx i mnogosloynyx
35.Knut D. Semantics context-free languages. V sb .: Semantics
43.Xomich A.V. Neurogenesis / Svidetelstvo Rospatenta ob ofitsialnoy
resheniya prikladnyx zadach: Monograph. Krasnoyarsk, KGTU, 2005.- 168 p.
46.Voskoboynikova V., Zhukov L.A. Determining the authorship with the help
seminar, Krasnoyarsk, 1997. S.43
genetic algorithms / ÿ. V. Xomich, L. A. Zhukov // Novye
15.
informatsionnye tekhnologii v issledovanii slozhnyx struktury: sb. nauch. statey /
Vestnik TGU. - 2004. - p. 111-114. 41.Xomich, ÿ. V. Organization of parallel
calculations in neuroservices
medicine: Nauchnoe izdanie / Krasnoyarsk. gosud. techn. un-t. Krasnoyarsk, 2004.
148 p .: il. 26. - Bibliogr .: 399 nazv. - Rus. - Rukopis dep. v
36.Xomich A.V. Method evolyutsionnoy optimizatsii i ego prilojenie k zadache
synthesis iskusstvennyx neuronnyx setey / ÿ. V. Xomich, L. A. Zhukov //
Neurocomputers: development, application. - 2004. - ÿ 12. - p. 3—
40.Xomich, ÿ. V. Analysis and optimization of operational mutations and crossover c
klassifikatsionnyx zadach dlya ispolzovaniya v ekologii, biologii i
neyronnyx setey s uchitelem i osobennosti ix ispolzovaniya dlya
for ponijeniya vÿchislitelnoy slojnosti obucheniya / ÿ. V. Xomich, L. A. Zhukov //
Doklady AN VSh RF. - 2005. - ÿ 1 (4). - S. 59-67. 38.Xomich A.V., Zhukov L.A. The
effectiveness of the method of group accounting
42.Khomich A.V., Zhukov L.A. The structure of the evolutionary method of optimization
VINITI
Neurogenesis / A. V. Xomich // Raspredelennÿe i klasternye vychisleniya: sb.
nauch. statey / Pod red. V.V.Shaydurova. - Krasnoyarsk: IVM SO RAN, 2005. - p.
121-129. - ISBN 57636-0759-7.
152
Machine Translated by Google

---

49.Bumajenko O.A., Kalinkin P.V., Zhukov L.A. Neyrosetevaya
rezultatov vyborov v Zakonodatelnoe sobranie kraya // Problems
informatsionnyx technology. Materials vseross.konf. Ulan-Ude: VSGTU,
2001. S.40-47
53.shchukina A.V., Zabusova N.V., Kudryavtseva I.P., Raymer T.P., Bogdanova
neurocibernetics: Rostov-on-Don, 1999.- 323p. S.211-212
N.A., Bryukhanova L.S., Matsi L.V., Savina N.V., Reshetnikova N.V., Ovodova
A.A., Zhukov L.A. Ispolzovanie neyroimitatora MultiNeuron dlya
prednozirovaniya temperatury vody v Enisee v rayone Krasnoyarska //
Neuroinformatika i ee prilojeniya: 6 Vserossiyskiy seminar, Krasnoyarsk,
1998. S.195
N.A., Emelyanenko G.P., Bryukhanova L.S., Matsi L.V., Savina N.V., Zhukov
eksperimentalnoy ximii ”: 9 vseros. stud. nauch. konf. Ekaterinburg: UrGU,
1999.- S.61 50.Jijaeva V.N., Lukyanov A.A., Grigorev R.V., Zhukov L.A.
Neyrosetevoe
gidrologicheskoy obstanovki // Neuroinformatika i ee prilojeniya: 6
Vserossiyskiy seminar, Krasnoyarsk, 1998. S.196 54.Smeshko I.V., Zhukov
L.A. Neuroscience classification of rules
classification of elements // “Problems teoreticheskoy i
47.shchukina A.V., Zabusova N.V., Kudryavtseva I.P., Raymer T.P., Bogdanova
N.A., Bryukhanova L.S., Matsi L.V., Savina N.V., Reshetnikova N.V., Ovodova
A.A., Zhukov L.A. Neyrosetevoe prognozirovanie
geograficheskim faktoram // Informatika i informatsionnye
conference on ecological education. SibGTU, 1998. S.162-164 48.Jukov
L.A., Garmanov D.V., Begizardov R.H. Neural networks for prognosis
technology: Thesis. dokl. mejvuzovskoy nauchnoy konferentsii. Krasnoyarsk:
KGTU, 1998. S.87-88 51.Fefelov I.V., Chegurov S.V., Olshannikova Yu.S.,
Kuroxtin V.V., Zhukov
56.Jukov L.A. Technology klassifikatsii s pomoshchyu neyronnyx setey bez
L.A. Use of neuroimitator MultiNeuron for prognosis
water temperature in Enisee in Krasnoyarsk region // 3-ya Mejvuzovskaya
opredelenie urovnya ekonomicheskogo razvitiya gosudarstva po
Rossii // Neuroinformatika i ee prilojeniya: 7 Vserossiyskiy seminar,
Krasnoyarsk, 1999.-167p., S.134 55.
neyrokibernetiki: Materialy XII Mejdunarodnoy konferentsii po
52.shchukina A.V., Zabusova N.V., Kudryavtseva I.P., Raymer T.P., Bogdanova
uchitelya // Teoreticheskie i prikladnÿe voprosy sovremennyx
L.A. Klassifikatsiya luney pri pomoshchi neyronnyx setey bez uchitelya //
Neuroinformatika i ee prilojeniya: 8 Vserossiyskiy seminar, Krasnoyarsk,
2000. S.174-175
153
Machine Translated by Google

---

59.Jukov, L. A. Technology neyrosetevogo resheniya prikladnyx
modern information technology. Materials vseross.konf. Ulan-Ude: VSGTU,
2001. S.58-61 58.Jukov, L. A. Technology neyrosetevogo resheniya prikladnyx
klassifikatsionnyx zadach dlya ispolzovaniya v ekologii, biologii i
klassifikatsionnyx zadach v ekologii, biologii i meditsine: Dis. kand. techn. nauk /
L. A. Zhukov. Krasnoyarsk, 2000. 187 p. 60.Jukov, L. A. Technology klassifikatsii
s pomoshchyu neyronnyx setey bez
uchitelya / L. A. Zhukov // Teoreticheskie i prikladnye voprosy
meditsine / L. A. Zhukov; KGTU. Krasnoyarsk, 2004. 148 p. Dep. v VINITI
modern information technology. Materials vseross.konf. Ulan-Ude: VSGTU,
2001. p. 40–47.
57.Jukov L.A., Yakimova L.D., Evert N.A. Neyrosetevaya obrabotka kriteriev
13.05.2004, ÿ 800-V2004.
pedagogicheskogo masterstva // Teoreticheskie i prikladnye voprosy
154
Machine Translated by Google