Дюсембаев, Ануар Ермуканович: различия между версиями

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== Работы ==
== Работы ==
* Dyusembaev A.E., Zhuravlev Yu. I., "Neural Network Construction for Recognition Problems with Standard Information on the Basis of a Model of Algorithms with Piecewise Linear Surfaces and Parameters"<ref>{{cite journal|last1=Dyusembaev|first1=A. E.|last2=Zhuravlev|first2=Yu. I.|title=Neural Network Construction for Recognition Problems with Standard Information on the Basis of a Model of Algorithms with Piecewise Linear Surfaces and Parameters|url=https://link.springer.com/article/10.1134/S1064562419050041|journal=Doklady Mathematics|volume=100|issue=2|pages=411–415|date=15 November 2019|doi=10.1134/S1064562419050041}}</ref>
1. Дюсембаев А.Е., Калиаждаров Д.Р. О точных решениях задач распознавания на основе нейросетевого подхода. ДАН РАН, т.461,N3,2015, с.267-271, IF=0.375
* Dyusembaev A.E., Grishko M.V., "On Correctness Conditions for Algebra of Recognition Algorithms with μ-Operators over Pattern Problems with Binary Data"<ref>{{cite journal|last1=Dyusembaev|first1=A. E.|last2=Grishko|first2=M. V.|title=On Correctness Conditions for Algebra of Recognition Algorithms with μ-Operators over Pattern Problems with Binary Data|url=https://link.springer.com/article/10.1134/S1064562418060078|journal=Doklady Mathematics|date=10 November 2018|volume=482|issue=2|pages=421–422|doi=10.1134/S1064562418060078}}</ref>

* Dyusembaev A.E., Grishko M.V., "Construction of a Correct Algorithm and Spatial Neural Network for Recognition Problems with Binary Data"<ref>{{cite journal|last1=Dyusembaev|first1=A. E.|last2=Grishko|first2=M. V.|title=Construction of a Correct Algorithm and Spatial Neural Network for Recognition Problems with Binary Data|url=https://link.springer.com/article/10.1134/S0965542518100068|journal=Computational Mathematics and Mathematical Physics|date=7 November 2018|volume=58|issue=10|pages=1673–1686|doi=10.1134/S0965542518100068}}</ref>
2. A. Dyusembaev, M. Grishko, D. Kaliazhdarov “ To construction of the correct algorithm for pattern recognition tasks over fuzzy neuro-operator model” Proc. of Int. Conf. iFuzzy 2014, Coahcing, Taiwan, pp. 158-162, 2014.(Scopus+Tompson-Reuter)
* Dyusembaev A.E., "An approach to the solution of recognition problems using neural networks", published in Doklady Akademii Nauk, 2017, Vol. 473, No. 2, pp.&nbsp;127–130.,<ref>{{cite journal|last1=Dyusembaev|first1=A. E.|title=An approach to the solution of recognition problems using neural networks|journal=Doklady Mathematics|date=17 May 2017|volume=95|issue=2|pages=125–128|doi=10.1134/S1064562417020053}}</ref>
A. Dyusembaev, D. Kaliazhdarov, M. Grishko, “Fuzzy operator and construction of three dimensional neural network for pattern recognition problem,” Proc of Int. Conf. iFuzzy 2013, Taiwan, pp. 230-233, 2013. .(Scopus+Tompson-Reuter)
* Dyusembaev A.E., Kaliazhdarov D.R., "On exact solutions of recognition problems based on the neural-network approach", 2015, published in Doklady Akademii Nauk, 2015, Vol. 461, No. 3, pp.&nbsp;268–271.,<ref>{{cite journal|last1=Dyusembaev|first1=A. E.|last2=Kaliazhdarov|first2=D. R.|title=On exact solutions of recognition problems based on the neural-network approach|journal=Doklady Mathematics|date=30 May 2015|volume=91|issue=2|pages=236–239|doi=10.1134/S1064562415020143}}</ref>

* Dyusembaev, A.E., Kaliazhdarov, D., Grishko, M., "To construction of the correct algorithm for pattern recognition tasks over fuzzy neuro-operator model", 2014, iFUZZY 2014 - 2014 International Conference on Fuzzy Theory and Its Applications, Conference Digest.,<ref>{{cite book|last1=Dyusembaev|first1=A.|last2=Kaliazhdarov|first2=D.|last3=Grishko|first3=M.|title=To construction of the correct algorithm for pattern recognition tasks over fuzzy neuro-operator model|journal=2014 International Conference on Fuzzy Theory and its Applications (iFUZZY2014)|date=2014|pages=158–162|doi=10.1109/iFUZZY.2014.7091251|isbn=978-1-4799-4588-7}}</ref>
⚫
3. A. Dyusembaev, M. Grishko, D. Kaliazhdarov “The Conditions of solvability of the inverse problem of the Operator Equation for a Pattern Recognition Neurooperator Model” AJIIPS, Australian Journalof Intelegent Information Processing Systems.Volume 14,No.2,2014,pp.15-21.
* Dyusembaev, A.E., "Mathematical models of program segmentation", FIZMATLIT. 207 p. (2001), MSC:68N01 68-02.

⚫
* Dyusembaev A.E., M. Grishko, D. Kaliazhdarov, “The Conditions of solvability of the inverse problem of the Operator Equation for a Pattern Recognition Neurooperator Model” AJIIPS, Australian Journalof Intelligent Information Processing Systems.Volume 14,No.2,2014,pp.&nbsp;15–21.
4. Development of Neural Network Simulation on Operator Prototype.IMC’2002, Beijing,2002y. ,China, International Math.Congress, p.290.
⚫
* Dyusembaev A.E., "Operator Approach to discrete programming with application newral networks modeling", Proc.Int. Conf. ICAFS'96, Germany, Berlin, 1996, pp.&nbsp;181–189.

* Dyusembaev A.E., "Mathematical models of program segmentation. (Matematicheskie modeli segmentatsii programm.)", Moskva: FIZMATLIT. 207 p. (2001).<ref>{{cite web|last1=Dyusembaev|first1=A.E.|title=Mathematical models of program segmentation|url=https://zbmath.org/?q=an:01669637|website=zbmath.org|publisher=zbMATH the first resource for mathematics}}</ref>
5. A. Dyusembaev, M. Grishko, D. Kaliazhdarov, “Conditions of solvability of the operator equation of the inverse problem for a pattern recognition neuro-operator model,” Proc. оf Int Conf ICAFS’14, France, 2014,pp.87-92,
* Dyusembaev A.E., "On one approach to the problem of segmenting programs..", Phys.-Dokl. 38, No. 4, 134-136 (1993); translation from Dokl. Akad. Nauk, Ross. Akad. Nauk 329, No. 6, 712-714 (1993).<ref>{{cite web|last1=Dyusembaev|first1=A.E.|title=On one approach to the problem of segmenting programs.|url=https://zbmath.org/?q=an:00702994|website=zbmath.org|publisher=zbMATH - the first resource for mathematics. 329 (6)|pages=712-714}}</ref>

* Dyusembaev A.E., Grishko M.V., "Conditions of the correctness for the algebra of estimates calculation algorithms with μ-operators over a set of binary-data recognition problems", M.V. Pattern Recognit. Image Anal. (2017) 27: 166.<ref>{{cite journal|last1=Dyusembaev|first1=A. E.|last2=Grishko|first2=M. V.|title=Conditions of the correctness for the algebra of estimates calculation algorithms with ?-operators over a set of binary-data recognition problems|journal=Pattern Recognition and Image Analysis|date=15 June 2017|volume=27|issue=2|pages=166–174|doi=10.1134/S1054661817020043}}</ref>
6. Математические модели сегментации программ. Москва: Физматлит "НАУКА", 2001г.,серия «Библиотечка программиста», 208 стр. , Мононграфия
* Dyusembaev A.E., "The synthesis of correct algorithms in the closure of recognition algorithms with representative samples and systems of supporting sets", Zh. Vychisl. Mat. Mat. Fiz., 1983, Volume 23, Number 6, Pages 1487–1496 (Mi zvmmf4483).<ref>{{cite journal|last1=Dyusembaev|first1=A.E.|title=The synthesis of correct algorithms in the closure of recognition algorithms with representative samples and systems of supporting sets|journal=USSR Computational Mathematics and Mathematical Physics|date=January 1983|volume=23|issue=6|pages=126–132|doi=10.1016/S0041-5553(83)80086-X}}</ref>

* Dyusembaev A.E., "On the correctness of algebraic closures of recognition algorithms of the “tests” type", USSR Computational Mathematics and Mathematical Physics, 1982, 22:6, 217–226.<ref>{{cite journal|last1=Dyusembaev|first1=A.E.|title=On the correctness of algebraic closures of recognition algorithms of the tests type|journal=USSR Computational Mathematics and Mathematical Physics|date=January 1982|volume=22|issue=6|pages=217–226|doi=10.1016/0041-5553(82)90111-2}}</ref>
7. Operator Approach to Problem of Segmentation of Program. ICM’98 Proc.Труды международного Конгресса математиков. Берлин, 17-28 августа 1998 г. Том кратких сообщений. С.290.
* Dyusembaev A.E., Kaliazhdarov D., Grishko M., "Fuzzy operator and three dimensional neural network for pattern recognition problem", Proceedings of 2013 International Conference on Fuzzy theory and Its Application National Taiwan University of Science and Technology, Taipei, Taiwan, Dec. 6-8, 2013.<ref>{{cite web|last1=Dyusembaev|first1=Anuar|last2=Kaliazhdarov|first2=Danabek|last3=Grishko|first3=Mikhail|title=Fuzzy operator and three dimensional neural network for pattern recognition problem|url=https://www.deepdyve.com/lp/institute-of-electrical-and-electronics-engineers/fuzzy-operator-and-three-dimensional-neural-network-for-pattern-ROLOGRTS9z|website=DeepDyve|language=en|date=6 December 2013}}{{Dead link|date=October 2019 |bot=InternetArchiveBot |fix-attempted=yes }}</ref>

* Dyusembaev A.E., Kaliazhdarov D., Grishko M., "The Conditions of Solvability of the Inverse Problem of Operator Equation for a Pattern Recognition Neurooperator Model.", Austr. J. Intelligent Information Processing Systems 14(2) (2014).<ref>{{cite web|last1=Dyusembaev|first1=A.E.|title=The Conditions of Solvability of the Inverse Problem of Operator Equation for a Pattern Recognition Neurooperator Model|url=http://dblp.uni-trier.de/pers/hd/d/Dyusembaev:Anuar|website=dblp.uni-trier.de|publisher=Austr. J. Intelligent Information Processing Systems 14(2) (2014)|language=en}}</ref>
⚫
8. Operator Approach to discrete programming with application newral networks modeling . Proc.Int. Conf. ICAFS'96, Germany, 1996, pp.181-189.

9. Об одном подходе к задаче сегментации программ. Доклады АН России. Т 329, №6, 1993 г., стр. 712-714.

10. Correct models of program segmenting. Int. Journal. Pattern Recognition and Image Analysis. T. 3.№2, 1993, USA, p.187-204.

11. О корректности алгебраических замыканий распознающих алгоритмов типа «тестовых» ЖВМиМФ АНСССР т.22,N6,с.1491-1499

12. Корректные замыкания алгоритмов распознавания с представительными наборами и системами опорных множеств. ЖВМиМФ АН СССР, Т.23, №6, 1983 г., стр.1481-1490.

13. Информатика. Структуры данных, сортировка, поиск.Учеб.пособие.Tempus-Tacis EuroCom.Project ,на руск.,каз., англ. языках 2010,2012,2014, Contract #CDJEP 22207-2001,11.5п.л.

14. Архитектура компьютеров. Учеб.пособие.Tempus-Tacis EuroCom.Project ,на руск.,каз., англ. языках , 12п.л. 2010,2012,2014, Contract #CDJEP 22207-2001

Версия от 13:39, 29 ноября 2019

Дюсембаев Ануар Ермуканович
Дата рождения 11 января 1953(1953-01-11) (71 год)
Место рождения г. Алма-Ата,Казахская ССР
Страна Казахстан
Род деятельности математик
Научная сфера Информатика
Место работы Казахский национальный университет имени аль-Фараби, Алматы, Казахстан
Альма-матер Санкт-Петербургский государственный университет
Учёная степень доктор механико-математических наук
Учёное звание профессор
Научный руководитель Журавлёв, Юрий Иванович
В Википедии есть статьи о других людях с такой фамилией, см. Дюсембаев.

Биография

Закончил Ленинградский государственный университет, матмех ф-т, кафедра МО ЭВМ (кафедра Лаврова)в 1975 г. отделение математика. к.ф.м.н.специальность 01.01.09. - матем.кибернетика, место защиты ВЦ АН СССР (г.Москва)1984 доктор физ.мат.наук, специальность 05.13.17.- теоретические основы информатики, консультант акад. РАН Журавлёв Ю.И., место защиты ВЦ РАН (г.Москва)1994 г. Публикации - журналы АН СССР, РАН, USA, монография "Математические модели сегментации программ" изд."Физматлит" (МАИК,Наука) 2001 г. Москва, серия"Библиотечка программиста",208с.и др.публикации.

Руководство студенческими проектами, среди которых победители Республиканских и международных конкурсов:

  1. Сулейменов Б. диплом I степени за лучшую научную работу коференция-конкурс "Ломоносов 2006" МГУ, г.Москва, секция выч.мат. и кибернентика
  2. Елюсизов Дамир диплом II степени за лучшую научную работу 2006 г. Каз.фил. МГУ, г. Астана и др.

В 1984 г. защитил канд. диссертацию по специальности 01.01.09 математического кибернетика в ВЦ АН СССР, Москва

В 1994 г. защитил докторскую диссертацию по специальности 05.13.17 "Теоретические основы информатики" в ВЦ РАН, г. Москва, научный консультант акад. РАН Ю.И. Журавлев

Докторант НСК АН СССР (РАН) г. Москва 1991-1994 г. Доцент, старший преподаватель, СНС, МНС старший инженер математического факультета КазГУ с 1986-1990 гг.;

Студент Ленинградского Гос. Университета с 1970-1975 гг.

Знание языков: русский, английский, казахский.


Список преподаваемых дисциплин

Бакалавриат:

- Design of Algorithm

- Design of Algorithms (ACM)

- Основы информационных систем

- Архитектура компьютерных систем и операционные системы

- Теоретическая информатика 

Магистратура:

- Алгоритмы и структуры данных

- Алгоритмы и структуры данных 2

- Алгоритмы и их сложность

- Построение и анализ алгоритмов

- Алгоритмы и структуры данных

- Математические и фундаментальные основы компьютерных наук

- Математические и фундаментальные основы компьютерных систем

- Разработка и анализ алгоритмов (на англ. языке)

- Разработка и анализ алгоритмов 

Докторантура:

- Analysis and design of program systems

- Models and algorithms

- Models and algorithms of searching

- Research in Information Systems

- Theoretical Informatics

- Дизайн модели приложений ИС

- Оптимизационные методы в информационных систем

- Разработка алгоритмов и их сложность

- Экспертные системы, основанные на правилах

- Анализ и проектирование программных систем

- Методы синтаксического анализа

- Теоретическая информатика

Работы

  • Dyusembaev A.E., Zhuravlev Yu. I., "Neural Network Construction for Recognition Problems with Standard Information on the Basis of a Model of Algorithms with Piecewise Linear Surfaces and Parameters"[1]
  • Dyusembaev A.E., Grishko M.V., "On Correctness Conditions for Algebra of Recognition Algorithms with μ-Operators over Pattern Problems with Binary Data"[2]
  • Dyusembaev A.E., Grishko M.V., "Construction of a Correct Algorithm and Spatial Neural Network for Recognition Problems with Binary Data"[3]
  • Dyusembaev A.E., "An approach to the solution of recognition problems using neural networks", published in Doklady Akademii Nauk, 2017, Vol. 473, No. 2, pp. 127–130.,[4]
  • Dyusembaev A.E., Kaliazhdarov D.R., "On exact solutions of recognition problems based on the neural-network approach", 2015, published in Doklady Akademii Nauk, 2015, Vol. 461, No. 3, pp. 268–271.,[5]
  • Dyusembaev, A.E., Kaliazhdarov, D., Grishko, M., "To construction of the correct algorithm for pattern recognition tasks over fuzzy neuro-operator model", 2014, iFUZZY 2014 - 2014 International Conference on Fuzzy Theory and Its Applications, Conference Digest.,[6]
  • Dyusembaev, A.E., "Mathematical models of program segmentation", FIZMATLIT. 207 p. (2001), MSC:68N01 68-02.
  • Dyusembaev A.E., M. Grishko, D. Kaliazhdarov, “The Conditions of solvability of the inverse problem of the Operator Equation for a Pattern Recognition Neurooperator Model” AJIIPS, Australian Journalof Intelligent Information Processing Systems.Volume 14,No.2,2014,pp. 15–21.
  • Dyusembaev A.E., "Operator Approach to discrete programming with application newral networks modeling", Proc.Int. Conf. ICAFS'96, Germany, Berlin, 1996, pp. 181–189.
  • Dyusembaev A.E., "Mathematical models of program segmentation. (Matematicheskie modeli segmentatsii programm.)", Moskva: FIZMATLIT. 207 p. (2001).[7]
  • Dyusembaev A.E., "On one approach to the problem of segmenting programs..", Phys.-Dokl. 38, No. 4, 134-136 (1993); translation from Dokl. Akad. Nauk, Ross. Akad. Nauk 329, No. 6, 712-714 (1993).[8]
  • Dyusembaev A.E., Grishko M.V., "Conditions of the correctness for the algebra of estimates calculation algorithms with μ-operators over a set of binary-data recognition problems", M.V. Pattern Recognit. Image Anal. (2017) 27: 166.[9]
  • Dyusembaev A.E., "The synthesis of correct algorithms in the closure of recognition algorithms with representative samples and systems of supporting sets", Zh. Vychisl. Mat. Mat. Fiz., 1983, Volume 23, Number 6, Pages 1487–1496 (Mi zvmmf4483).[10]
  • Dyusembaev A.E., "On the correctness of algebraic closures of recognition algorithms of the “tests” type", USSR Computational Mathematics and Mathematical Physics, 1982, 22:6, 217–226.[11]
  • Dyusembaev A.E., Kaliazhdarov D., Grishko M., "Fuzzy operator and three dimensional neural network for pattern recognition problem", Proceedings of 2013 International Conference on Fuzzy theory and Its Application National Taiwan University of Science and Technology, Taipei, Taiwan, Dec. 6-8, 2013.[12]
  • Dyusembaev A.E., Kaliazhdarov D., Grishko M., "The Conditions of Solvability of the Inverse Problem of Operator Equation for a Pattern Recognition Neurooperator Model.", Austr. J. Intelligent Information Processing Systems 14(2) (2014).[13]
  1. ↑ Dyusembaev, A. E.; Zhuravlev, Yu. I. (15 November 2019). "Neural Network Construction for Recognition Problems with Standard Information on the Basis of a Model of Algorithms with Piecewise Linear Surfaces and Parameters". Doklady Mathematics. 100 (2): 411—415. doi:10.1134/S1064562419050041.
  2. ↑ Dyusembaev, A. E.; Grishko, M. V. (10 November 2018). "On Correctness Conditions for Algebra of Recognition Algorithms with μ-Operators over Pattern Problems with Binary Data". Doklady Mathematics. 482 (2): 421—422. doi:10.1134/S1064562418060078.
  3. ↑ Dyusembaev, A. E.; Grishko, M. V. (7 November 2018). "Construction of a Correct Algorithm and Spatial Neural Network for Recognition Problems with Binary Data". Computational Mathematics and Mathematical Physics. 58 (10): 1673—1686. doi:10.1134/S0965542518100068.
  4. ↑ Dyusembaev, A. E. (17 May 2017). "An approach to the solution of recognition problems using neural networks". Doklady Mathematics. 95 (2): 125—128. doi:10.1134/S1064562417020053.
  5. ↑ Dyusembaev, A. E.; Kaliazhdarov, D. R. (30 May 2015). "On exact solutions of recognition problems based on the neural-network approach". Doklady Mathematics. 91 (2): 236—239. doi:10.1134/S1064562415020143.
  6. ↑ Dyusembaev, A. To construction of the correct algorithm for pattern recognition tasks over fuzzy neuro-operator model / A. Dyusembaev, D. Kaliazhdarov, M. Grishko. — 2014. — P. 158–162. — ISBN 978-1-4799-4588-7. — doi:10.1109/iFUZZY.2014.7091251.
  7. ↑ Dyusembaev, A.E. Mathematical models of program segmentation. zbmath.org. zbMATH the first resource for mathematics.
  8. ↑ Dyusembaev, A.E. On one approach to the problem of segmenting programs. zbmath.org 712-714. zbMATH - the first resource for mathematics. 329 (6).
  9. ↑ Dyusembaev, A. E.; Grishko, M. V. (15 June 2017). "Conditions of the correctness for the algebra of estimates calculation algorithms with ?-operators over a set of binary-data recognition problems". Pattern Recognition and Image Analysis. 27 (2): 166—174. doi:10.1134/S1054661817020043.
  10. ↑ Dyusembaev, A.E. (January 1983). "The synthesis of correct algorithms in the closure of recognition algorithms with representative samples and systems of supporting sets". USSR Computational Mathematics and Mathematical Physics. 23 (6): 126—132. doi:10.1016/S0041-5553(83)80086-X.
  11. ↑ Dyusembaev, A.E. (January 1982). "On the correctness of algebraic closures of recognition algorithms of the tests type". USSR Computational Mathematics and Mathematical Physics. 22 (6): 217—226. doi:10.1016/0041-5553(82)90111-2.
  12. ↑ Dyusembaev, Anuar; Kaliazhdarov, Danabek; Grishko, Mikhail Fuzzy operator and three dimensional neural network for pattern recognition problem (англ.). DeepDyve (6 декабря 2013). (недоступная ссылка)
  13. ↑ Dyusembaev, A.E. The Conditions of Solvability of the Inverse Problem of Operator Equation for a Pattern Recognition Neurooperator Model (англ.). dblp.uni-trier.de. Austr. J. Intelligent Information Processing Systems 14(2) (2014).
Источник — https://ru.wikipedia.org/w/index.php?title=Дюсембаев,_Ануар_Ермуканович&oldid=103598690