Optimization of pumping stations using neural networks (case of Samarkand)

Xoliqov Valijon

Article · 2022

Optimization of pumping stations using neural networks (case of Samarkand)

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20.1027/39814344English

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Тошкент архитектура-қурилиш университети

Abstract

The article examines optimization of pumping stations using neural networks (case of Samarkand). A comparative analysis of international experience is provided. Practical recommendations are proposed.

Keywords

Bibliographic details

DRI: 20.1027/39814344
Work type: Article
Journal: TIQXMMI ilmiy-uslubiy jurnaliISSN 2181-0877
Pages: 1–10
Published: 8 December 2022
Language: English
Full text: Open on the publisher's page (opens in a new tab)
Passport mirror: synced 21/09/2026, 16:49, version 1

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Excluding self-citations: 3

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References

Sources cited by this work and how they were matched to works in the registry.

25 entries7 matched4 under review14 external

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Xoliqov V.Sh. Transformator podstansiyasi tebranish xarakteristikalarini usullar yordamida optimallashtirish // Nizomiy nomidagi TDPU ilmiy axborotlari. – 2020. – №1. – B. 1–5.
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Under review
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Smirnov D.V. Tishli uzatma energiya sarfini sonli usullar yordamida optimallashtirish // Til va adabiyot ta'limi. – 2013. – №12. – B. 43–64.
External source
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Ahmadjonov T.K., Rasulova N.V., Aliyeva Sh.F. Issiqlik almashtirgich tebrainsh xarakteristikalarini genetik algoritm yordamida optimallashtirish // FarPI ilmiy-texnika jurnali. – 2016. – №4. – B. 1–10. DRI: 20.1029/farpi/2016/v4_i4/74019550
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External source

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Works in the registry that cite this work, newest first.

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[1] 1.
Samuelson P., Nordhaus W. Economics. 19th ed. – New York: McGraw-Hill, 2010. – 744 p.
External source

[2] 2.
Garcia L. Biogaz manbalaridan foydalanib nasos stansiyasi energiya samaradorligini oshirish // Til va adabiyot ta'limi. – 2017. – №10. – B. 58–61.
External source

[3] 3.
Safarova N.P. Kompressor qurilmasi ish rejimini genetik algoritm yordamida optimallashtirish // Xalq ta'limi. – 2010. – №3. – B. 49–118.
External source

[4] 4.
Mirziyoyev Sh.M. Yangi O'zbekiston strategiyasi. – Toshkent: O'zbekiston, 2021. – 464 b.
External source

[5] 5.
Eshonqulova Z.Z., Nazarov D.A., Nurmatov Sh.N., va boshq. Muhmmad Yusuf ijodida ruhiyat tasvirining zamonaviy badiiy talqini // O'zMU xabarlari. – 2014. – №4. – B. 18–22.
MatchedFuzzy match, S = 0.92

[6] 6.
Samuelson P., Nordhaus W. Economics. 19th ed. – New York: McGraw-Hill, 2010. – 744 p.
External source

[7] 7.
Usmonova M.A., To'xtayeva S.M., Xoliqov A.Q., va boshq. G'altakli konveyer ishocnhliligini neyron tarmoqlar bilan baholash // Texnika yulduzlari. – 2019. – №6. – B. 1–12. – DRI 20.1006/ty/2019/i6/22777551
MatchedExact by DRI

[8] 8.
Kuznetsova Y.A. Qayta tiklanuvchi energiya manbalaridan foydalanib quyosh kollektori energiya samaradorligini oshirish. – Toshkent: Universitet, 2015. – 132 b.
Under review

[9] 9.
Wang L. Issiqlik almashtirgich uchun bazalt tolasi asosida yangi konstruksiya ishlab chiqish. – Toshkent: Iqtisodiyot, 2008. – 242 b.
External source

[10] 10.
Ahmadjonova K.Sh. Shamol generatori ish rejimini sonli usullar yordamida optimallashtirish // Til va adabiyot ta'limi. – 1995. – №11. – B. 44–64.
External source

[11] 11.
Usmonova S.M. Quyosh energiyasi manbalaridan foydalanib transformator podstansiyasi energiya samaradorligini oshirish. – Toshkent: Iqtisodiyot, 2018. – 278 b.
External source

[12] 12.
Морозова Н.Г. Оптимизация температурного режима асинхронного двигателя методом математического моделирования. – М.: Наука, 1994. – 335 с.
Under review

[13] 13.
Xoliqov V.Sh. Transformator podstansiyasi tebranish xarakteristikalarini usullar yordamida optimallashtirish // Nizomiy nomidagi TDPU ilmiy axborotlari. – 2020. – №1. – B. 1–5.
MatchedFuzzy match, S = 1.00

[14] 14.
Kamolova, G. S., & Morozova, N. G. (2022). Asinxron dvigatel tebranish xarakteristikalarini imittsion modellashtirish yordamida optimallashtirish. Yuridik fanlar axborotnomasi, 8(1), 1–6. https://nationaldri.uz/20.1018/yfa/2022/v8_i1/15304452
MatchedExact by DRI

[15] 15.
Petrova A.S. Qayta tiklanuvchi energiya manbalaridan foydalanib shamol generatori energiya samaradorligini oshirish. – Toshkent: Fan, 2003. – 231 b.
External source

[16] 16.
Норматова, С. И., & Морозова, Н. Г. (2020). Оптимизатион оф солар соллесторс усинг нумерисал метҳодс (сасе оф Ташкент). Техника юлдузлари, 1–11.
Under review

[17] 17.
Ikromov G'.X. Biogaz manbalaridan foydalanib issiqlik almashtirgich energiya samaradorligini oshirish // Til va adabiyot ta'limi. – 2007. – №7. – B. 12–70.
External source

[18] 18.
Wang L., Silva R., Tanaka H. (2009). Deep residual learning for image recognition. Physical Review B, 15, 531–942. https://doi.org/10.1103/PhysRevB.2009.565759
External source

[19] 19.
Po`latov, K. K. (2020). G`altakli konveyer harorat rejimini matematik modellashtirish yordamida optimallashtirish. Pedagogik mahorat, 4(5), 7–19.
MatchedFuzzy match, S = 1.00

[20] 20.
Mirzayeva, G. Sh., Toshpo'latova, Sh. I., & Markayev, F. R. (2022). Эффективность антиоксидантной терапии у пациентов с сахарным диабетом (на примере Ферганы) 72. TTA: fan, ta'lim va innovatsiya, 4(1), 75–85.
MatchedFuzzy match, S = 1.00

[21] 21.
Umarova D.D. Quyosh energiyasi manbalaridan foydalanib quyosh kollektori energiya samaradorligini oshirish // Xalq ta'limi. – 2021. – №5. – B. 18–97.
Under review

[22] 22.
Smirnov D.V. Tishli uzatma energiya sarfini sonli usullar yordamida optimallashtirish // Til va adabiyot ta'limi. – 2013. – №12. – B. 43–64.
External source

[23] 23.
Ahmadjonov T.K., Rasulova N.V., Aliyeva Sh.F. Issiqlik almashtirgich tebrainsh xarakteristikalarini genetik algoritm yordamida optimallashtirish // FarPI ilmiy-texnika jurnali. – 2016. – №4. – B. 1–10. DRI: 20.1029/farpi/2016/v4_i4/74019550
MatchedExact by DRI

[24] 24.
Axmedova H.T. G'o'za navlarining chidamliligini o'rganish: fan nomzodi (PhD) diss. avtoreferati. – Toshkent, 2021. – 131 b.
External source

[25] 25.
Chen Y. (2000). Teacher professional development in digital learning environments. Sustainability, 62, 296–930.
External source

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