Shamol generatori harorat rejimini neyron tarmoqlar yordamida optimallashtirish (Farg'ona viloyati misolida)

Зарипов Карим Санжарович; Rasulov Farrux; Zaripova Dilfuza Jahongirovna

Article · 2026

Shamol generatori harorat rejimini neyron tarmoqlar yordamida optimallashtirish (Farg'ona viloyati misolida)

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20.1006/tdtuilm/2026/v18_i2/53733166Uzbek

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Authors

Зарипов Карим Санжаровичno linked profile
Toshkent davlat transport universiteti
Rasulov Farrux ORCID 0000-0002-0028-6622 (opens in a new tab)
TDTrU, Iqtisodiyot fakulteti
Zaripova Dilfuza Jahongirovnano linked profile
Westminster xalqaro universiteti Toshkentda

Abstract

Ushbu maqolada «Shamol generatori harorat rejimini neyron tarmoqlar yordamida optimallashtirish (Farg'ona viloyati misolida)» mavzusi tahlil qilingan. Muammoning nazariy asoslari va amaliy jihatlari yoritilgan. Olingan natijalar shamol generatori sohasida amaliy ahamiyatga ega.

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Bibliographic details

DRI: 20.1006/tdtuilm/2026/v18_i2/53733166
Work type: Article
Journal: TDTU ilmiy-uslubiy jurnaliISSN 2181-0338
Volume and issue: Vol. 18, No. 2
Pages: 45–53
Published: 21 June 2026
Language: Uzbek
Subject: Texnika
Passport mirror: synced 21/09/2026, 17:50, version 1

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References

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

17 entries9 matched1 under review7 external

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Yunusov B.T. Transformator podstansiyasi energiya sarfini genetik algoritm yordamida optimallashtirish // «Muhandislik va texnologiyalarning zamonaviy muammolari» mavzusidagi respublika ilmiy-amaliy konferensiya materiallari. – Toshkent, 2021. – B. 20–23.
MatchedFuzzy match, S = 1.00→ Transformator podstansiyasi energiya sarfini genetik algoritm yordamida optimallashtirish
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Zaripov, K. S., & Xolmatov, A. S. (2024). Asssesment of innovation activity in tourism: evidence from Uzbekistan (case of Bukhara). Xalqaro moliya va hisob, 13(2), 21–28. URL: https://nationaldri.uz/20.1017/xmh/2024/v13_i2/61440941
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Rahimov Sh.E., Eshonqulova F.P. Transformator podstansiyasi ish rejimini sonli usullar yordamida optimallashtirish asosiy // Texnika yulduzlari. – 2020. – №12. – B. 1–9.
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Garcia L. Asinxron dvigatel uchun nanomateriallar asosida yangi konstruksiya ishlab chiqish. – Toshkent: Iqtisodiyot, 2017. – 116 b.
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MatchedFuzzy match, S = 1.00
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Aliyeva Sh.F., Choriyeva S.R. Оптимизация энергопотребления асинхронного двигателя методом математического моделирования // Ilm-fan va texnika taraqqiyoti. – 2014. – №10. – B. 1–7. DRI: 20.2002/ift/2014/v1_i10/68522771
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Baxromova D.Z. Quyosh kollektori tebranish xarakteristikalarini genetik algoritm yordamida optimallashtirish // Til va adabiyot ta'limi. – 2008. – №3. – B. 36–62.
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Mirzayev, Q. J. (2023). Nasos stansiyasi mustahkamlik ko'rsatkichlarini genetik algoritm yordamida optimallashtirish. Temir yo'l transporti muammolari, 14–25. https://nationaldri.uz/20.1031/tytm/2023/i4/13159957
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Umrzoqova, G. G'., Kenjayev, Z. Sh., & Morozova, N. G. (2018). Paxta tozalash mashinasi ishonchliligini sonli usullar bilan bholash. TDTU: fan, ta'lim va innovatsiya, 8(1), 19–24. DRI: 20.1006/tdtufti/2018/v8_i1/93319457
MatchedExact by DRI
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Kumar V., Lee J. (2005). Clinical outcomes of metformin therapy in type 2 diabetes. Journal of Economic Perspectives, 83, 605–973.
External source

Citing works

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

This work has not been cited yet

When other works in the registry cite this work, they will appear here.

[1] 1.
Yunusov B.T. Transformator podstansiyasi energiya sarfini genetik algoritm yordamida optimallashtirish // «Muhandislik va texnologiyalarning zamonaviy muammolari» mavzusidagi respublika ilmiy-amaliy konferensiya materiallari. – Toshkent, 2021. – B. 20–23.
MatchedFuzzy match, S = 1.00→ Transformator podstansiyasi energiya sarfini genetik algoritm yordamida optimallashtirish

[2] 2.
Wang L. (2013). Language learning motivation in higher education in developing countries. Applied Linguistics, 16, 372–959.
External source

[3] 3.
Temirova N.J. Temir yo'l izi mustahkamlik ko'rsatkichlarini eksperimental tadqiqot yordamida optimallashtirish. – Toshkent: Universitet, 2026. – 284 b.
External source

[4] 4.
Rasulov, F. Sh., Islomova, Y. N., & Po'latov, S. G'. (2025). Raqamli iqtisodiyot sharoitida oziq-ovqat saoati rivojlanish tendensiyalari (Xorazm viloyati misolida) 45. Xalqaro moliya va hisob, 14(6), 26–32. DRI: 20.1017/xmh/2025/v14_i6/53006709
MatchedExact by DRI

[5] 5.
Zaripov, K. S., & Xolmatov, A. S. (2024). Asssesment of innovation activity in tourism: evidence from Uzbekistan (case of Bukhara). Xalqaro moliya va hisob, 13(2), 21–28. URL: https://nationaldri.uz/20.1017/xmh/2024/v13_i2/61440941
MatchedExact by DRI

[6] 6.
Давлетова М.Ж., Бахромова Д.Ш., Темирова Н.К. Қайта тикланувчи энергия манбаларидан фойдаланиб иссиқлик алмаштиргич энергия самарадорлигини ошириш // ТДТУ: фан, таълим ва инноватсия. – 2014. – №1. – Б. 1–12.
MatchedFuzzy match, S = 1.00

[7] 7.
Rahimov Sh.E., Eshonqulova F.P. Transformator podstansiyasi ish rejimini sonli usullar yordamida optimallashtirish asosiy // Texnika yulduzlari. – 2020. – №12. – B. 1–9.
MatchedFuzzy match, S = 1.00

[8] 8.
Garcia L. Asinxron dvigatel uchun nanomateriallar asosida yangi konstruksiya ishlab chiqish. – Toshkent: Iqtisodiyot, 2017. – 116 b.
Under review

[9] 9.
Yunusov, B. T., Eshmatov, J. Q., Roʼziyev, U. J., et al. (2018). Transformator podstansiyasi tebranish xarakteristikalarini matematik modellashtirish yordamida optimallashtirish. FarPI ilmiy-texnika jurnali, 6(9), 13–16.
MatchedFuzzy match, S = 1.00

[10] 10.
Aliyeva Sh.F., Choriyeva S.R. Оптимизация энергопотребления асинхронного двигателя методом математического моделирования // Ilm-fan va texnika taraqqiyoti. – 2014. – №10. – B. 1–7. DRI: 20.2002/ift/2014/v1_i10/68522771
MatchedExact by DRI

[11] 11.
Кузнецова Е.А. Оптимизация режимов работы насосной станции методом математического моделирования // Вопросы образования. – 1995. – № 3. – С. 27–133.
External source

[12] 12.
Samuelson P., Nordhaus W. Economics. 19th ed. – New York: McGraw-Hill, 2010. – 744 p.
External source

[13] 13.
Baxromova D.Z. Quyosh kollektori tebranish xarakteristikalarini genetik algoritm yordamida optimallashtirish // Til va adabiyot ta'limi. – 2008. – №3. – B. 36–62.
External source

[14] 14.
Chen Y., Martin C., Novak P. (2025). Language learning motivation in higher education. Energy Policy, 36, 680–950. https://doi.org/10.1016/j.enpol.2025.980959
External source

[15] 15.
Mirzayev, Q. J. (2023). Nasos stansiyasi mustahkamlik ko'rsatkichlarini genetik algoritm yordamida optimallashtirish. Temir yo'l transporti muammolari, 14–25. https://nationaldri.uz/20.1031/tytm/2023/i4/13159957
MatchedExact by DRI

[16] 16.
Umrzoqova, G. G'., Kenjayev, Z. Sh., & Morozova, N. G. (2018). Paxta tozalash mashinasi ishonchliligini sonli usullar bilan bholash. TDTU: fan, ta'lim va innovatsiya, 8(1), 19–24. DRI: 20.1006/tdtufti/2018/v8_i1/93319457
MatchedExact by DRI

[17] 17.
Kumar V., Lee J. (2005). Clinical outcomes of metformin therapy in type 2 diabetes. Journal of Economic Perspectives, 83, 605–973.
External source