Nasos stansiyasi harorat rejimini imitatsion modellashtirish yordamida optimallashtirish

Oripov Ilhom Umid o'g'li; Yunusov Anvar; Kamolova Gulnora Salim qizi; G'aniyev J.B.; Xamidova Shahnoza Otabek qizi

Article · 2024

Nasos stansiyasi harorat rejimini imitatsion modellashtirish yordamida optimallashtirish

Optimization of pumping stations using genetic algorithms

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20.1006/tdtufti/2024/v14_i1/84662144Uzbek

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Authors

Oripov Ilhom Umid o'g'lino linked profile
Islom Karimov nomidagi Toshkent davlat texnika universiteti
Yunusov Anvar ORCID 0000-0002-0018-1767 (opens in a new tab)
Islom Karimov nomidagi Toshkent davlat texnika universiteti
Kamolova Gulnora Salim qizi ORCID 0000-0002-0018-5194 (opens in a new tab)
Islom Karimov nomidagi Toshkent davlat texnika universiteti
G'aniyev J.B.no linked profile
Ислом Каримов номидаги Тошкент давлат техника университети
Xamidova Shahnoza Otabek qizi ORCID 0000-0002-0018-5266 (opens in a new tab)
Tashkent State Technical University named after Islam Karimov

Abstract

Ushbu maqolada «Nasos stansiyasi harorat rejimini imitatsion modellashtirish yordamida optimallashtirish» mavzusi tahlil qilingan. Maqolada xorijiy va mahalliy tajriba qiyosiy tahlil qilingan. Olingan natijalar nasos stansiyasi sohasida amaliy ahamiyatga ega.

Keywords

Bibliographic details

DRI: 20.1006/tdtufti/2024/v14_i1/84662144
Work type: Article
Journal: TDTU: fan, ta'lim va innovatsiyaISSN 2181-0354
Volume and issue: Vol. 14, No. 1
Pages: 11–20
Published: 10 February 2024
Language: Uzbek
Full text: Open on the publisher's page (opens in a new tab)
Passport mirror: synced 21/09/2026, 16:50, version 1

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References

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

16 entries8 matched1 under review7 external

1.
Toshmatov E.Sh. Nasos stansiyasi ishonchliligini matematik modellashtirish bilan baholash // Texnika yulduzlari. – 2018. – №1. – B. 1–6.
MatchedFuzzy match, S = 1.00→ Nasos stansiyasi ishonchliligini matematik modellashtirish bilan baholash
2.
Hamroyeva M.S., Yunusov Z.E., Hasanov B.A. Optimization of power distribution networks using genetic algorithms (case of Tashkent) // Temir yo'l transporti muammolari. – 2021. – №2. – B. 5–16.
MatchedFuzzy match, S = 1.00→ Optimization of power distribution networks using genetic algorithms (case of Tashkent)
3.
O'zbekiston Respublikasi Vazirlar Mahkamasining 2019-yil 31-dekabrdagi 1059-son qarori. – Toshkent, 2019.
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Choriyeva, H. B., Kuznetsova, Y. A., Rasulov, S. U., et al. (2019). Energetika sohasida strategik rejalashtirishni takomillashtirish. TATU: fan, ta'lim va innovatsiya, 7(3), 7–15.
MatchedFuzzy match, S = 1.00
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Islomov S.Q. Elektr tarmog'i uchun bazalt tolasi asosida yangi konstruksiya ishlab chiqish. – Toshkent: O‘qituvchi, 2023. – 277 b.
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Egamberdiyev, I. F., Umrzoqov, M. Y., Asqarov, A. A., et al. (2020). Transformator podstansiyasi tebranish xarakteristikalarini imitatsion modellashtirish yordamida optimallashtirish. TDTU: fan, taʻlim va innovatsiya, 10(2), 21–29.
MatchedFuzzy match, S = 1.00
8.
Qurbonova D.F. Tishli mustahkamlik ko'rsatkichlarini neyron tarmoqlar yordamida optimallashtirish // TDTU: fan, ta'lim va innovatsiya. – 2012. – №1. – B. 25–35.
MatchedFuzzy match, S = 1.00
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Norqulova, S. S., & Kuznetsova, Y. A. (2023). Optimization of indution motors using neural networks (case of Bukhara). Toshkent.
MatchedFuzzy match, S = 0.99
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Nurmatova, Z. F., Nazarova, S. X., & Garcia, L. (2018). Quyosh kollektori rejimini neyron tarmoqlar yordamida optimallashtirish. Ilm-fan va texnika taraqqiyoti, 5(10), 1–12.
MatchedFuzzy match, S = 1.00
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Müller K., Johnson M., Nguyen T. (2015). Thin film solar cells: materials and performance: a systematic review. Applied Linguistics, 38, 195–954. DOI: 10.1093/applin.2015.815916
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Волков А.Н. Оптимизация температурного режима солнечного коллектора методом математического моделирования. – М.: Наука, 2000. – 378 с.
Under review
13.
Кузнецова Е.А. Оптимизация энергопотребления солнечного коллектора методом математического моделирования // Педагогика. – 1990. – № 9. – С. 30–141.
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14.
Smirnov D.V. G'altakli konveyer uchun nanomateriallar asosida yangi konstruksiya ishlab chiqish // Til va adabiyot ta'limi. – 2011. – №4. – B. 36–67.
External source
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Berdiyev U.A., Tursunov I.K. Qoraqalpog'iston Respublikasi iqtisodiyotida logistikaning o'rni va rivojlanish istiqbollari (Namangan viloyati misolida) // Innovatsion rivojlanish. – 2022. – №4. – B. 11–21.
MatchedFuzzy match, S = 0.98
16.
Rossi F., Martin C. (2021). Deep residual learning for image recognition. IEEE Access, 9, 18–904. https://doi.org/10.1109/ACCESS.2021.269935
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Citing works

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

Authors: Asqarov Ulug'bek Ulug'bekovich
DRI20.1001/diss/d2025/36183885 Open on nationaldri.uzDissertation2views0downloads
Year2025
Citations2
Authors: Yoqubov DilshodIlm-fan va texnika taraqqiyoti
DRI20.2002/ift/2024/v11_i5/40131363 Open on nationaldri.uzArticle11views0downloads
Year2024

[1] 1.
Toshmatov E.Sh. Nasos stansiyasi ishonchliligini matematik modellashtirish bilan baholash // Texnika yulduzlari. – 2018. – №1. – B. 1–6.
MatchedFuzzy match, S = 1.00→ Nasos stansiyasi ishonchliligini matematik modellashtirish bilan baholash

[2] 2.
Hamroyeva M.S., Yunusov Z.E., Hasanov B.A. Optimization of power distribution networks using genetic algorithms (case of Tashkent) // Temir yo'l transporti muammolari. – 2021. – №2. – B. 5–16.
MatchedFuzzy match, S = 1.00→ Optimization of power distribution networks using genetic algorithms (case of Tashkent)

[3] 3.
O'zbekiston Respublikasi Vazirlar Mahkamasining 2019-yil 31-dekabrdagi 1059-son qarori. – Toshkent, 2019.
External source

[4] 4.
Choriyeva, H. B., Kuznetsova, Y. A., Rasulov, S. U., et al. (2019). Energetika sohasida strategik rejalashtirishni takomillashtirish. TATU: fan, ta'lim va innovatsiya, 7(3), 7–15.
MatchedFuzzy match, S = 1.00

[5] 5.
Islomov S.Q. Elektr tarmog'i uchun bazalt tolasi asosida yangi konstruksiya ishlab chiqish. – Toshkent: O‘qituvchi, 2023. – 277 b.
External source

[6] 6.
Toshmatova M.A. Elektr tarmog'i ishonchliligini sonli usullar bilan baholash // Til va adabiyot ta'limi. – 1996. – №1. – B. 36–64.
External source

[7] 7.
Egamberdiyev, I. F., Umrzoqov, M. Y., Asqarov, A. A., et al. (2020). Transformator podstansiyasi tebranish xarakteristikalarini imitatsion modellashtirish yordamida optimallashtirish. TDTU: fan, taʻlim va innovatsiya, 10(2), 21–29.
MatchedFuzzy match, S = 1.00

[8] 8.
Qurbonova D.F. Tishli mustahkamlik ko'rsatkichlarini neyron tarmoqlar yordamida optimallashtirish // TDTU: fan, ta'lim va innovatsiya. – 2012. – №1. – B. 25–35.
MatchedFuzzy match, S = 1.00

[9] 9.
Norqulova, S. S., & Kuznetsova, Y. A. (2023). Optimization of indution motors using neural networks (case of Bukhara). Toshkent.
MatchedFuzzy match, S = 0.99

[10] 10.
Nurmatova, Z. F., Nazarova, S. X., & Garcia, L. (2018). Quyosh kollektori rejimini neyron tarmoqlar yordamida optimallashtirish. Ilm-fan va texnika taraqqiyoti, 5(10), 1–12.
MatchedFuzzy match, S = 1.00

[11] 11.
Müller K., Johnson M., Nguyen T. (2015). Thin film solar cells: materials and performance: a systematic review. Applied Linguistics, 38, 195–954. DOI: 10.1093/applin.2015.815916
External source

[12] 12.
Волков А.Н. Оптимизация температурного режима солнечного коллектора методом математического моделирования. – М.: Наука, 2000. – 378 с.
Under review

[13] 13.
Кузнецова Е.А. Оптимизация энергопотребления солнечного коллектора методом математического моделирования // Педагогика. – 1990. – № 9. – С. 30–141.
External source

[14] 14.
Smirnov D.V. G'altakli konveyer uchun nanomateriallar asosida yangi konstruksiya ishlab chiqish // Til va adabiyot ta'limi. – 2011. – №4. – B. 36–67.
External source

[15] 15.
Berdiyev U.A., Tursunov I.K. Qoraqalpog'iston Respublikasi iqtisodiyotida logistikaning o'rni va rivojlanish istiqbollari (Namangan viloyati misolida) // Innovatsion rivojlanish. – 2022. – №4. – B. 11–21.
MatchedFuzzy match, S = 0.98

[16] 16.
Rossi F., Martin C. (2021). Deep residual learning for image recognition. IEEE Access, 9, 18–904. https://doi.org/10.1109/ACCESS.2021.269935
External source