Shamol generatori mustahkamlik ko'rsatkichlarini neyron tarmoqlar yordamida optimallashtirish

Орипова Озода Сирожиддин қизи; Mansurov Alisher Kamol o'g'li

doi:10.52014/buxduilm.2025.12.4.1

Article · 2025

Shamol generatori mustahkamlik ko'rsatkichlarini neyron tarmoqlar yordamida optimallashtirish

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20.1005/14424854Uzbek

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Authors

Орипова Озода Сирожиддин қизиno linked profile
Bukhara Engineering-Technological Institute
Mansurov Alisher Kamol o'g'lino linked profile
Qozon federal universiteti

Abstract

Ushbu maqolada «Shamol generatori mustahkamlik ko'rsatkichlarini neyron tarmoqlar yordamida optimallashtirish» mavzusi tahlil qilingan. Muammoning nazariy asoslari va amaliy jihatlari yoritilgan. Muallif tomonidan shamol generatori bo'yicha takliflar va tavsiyalar ishlab chiqilgan.

Keywords

Bibliographic details

DRI: 20.1005/14424854
Work type: Article
Journal: BuxDU ilmiy-uslubiy jurnaliISSN 2181-029X
Pages: 1–12
Published: 11 July 2025
Language: Uzbek
External DOI: 10.52014/buxduilm.2025.12.4.1 (opens in a new tab)
Full text: Open on the publisher's page (opens in a new tab)
Passport mirror: synced 21/09/2026, 16:51, version 1

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References

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

18 entries10 matched2 under review6 external

1.
Морозова Н.Г. Оптимизация энергопотребления насосной станции методом математического моделирования // Вопросы истории. – 2020. – № 8. – С. 37–149.
Under review
2.
Islomova Z.X., Umarova Sh.A. Nasos stansiyasi mustahkamlik ko'rsatkichlarini eksperimental tadqiqot yordamida optimallashtirish // «Energiya tejamkorligi va qayta tiklanuvchi manbalar» mavzusidagi respublika ilmiy-amaliy konferensiya materiallari. – Toshkent, 2021. – B. 9–12.
MatchedFuzzy match, S = 0.93→ Nasos stansiyasi mustahkamlik ko'rsatkichlarini eksperimental tadqiqot yordamida optimallashtirish
3.
Mahmudova, R. Z. (2018). Tishli uzatma ishonchliligini sonli usullar bilan asosiy baholash. TIQXMMI ilmiy-uslubiy jurnali, 10(2), 1–9.
MatchedFuzzy match, S = 1.00
4.
Johnson M. (2020). Machine learning methods for credit scoring revisited. IEEE Access, 51, 89–904. https://doi.org/10.1109/ACCESS.2020.23993
External source
5.
Hasanov, S. M., & Oripova, O. S. (2015). Kmpressor qurilmasi ishonchliligini eksperimental tadqiqot bilan baholash. Ilm-fan va texnika taraqqiyoti, 2(10), 1–10. https://nationaldri.uz/20.2002/ift/2015/v2_i10/16445780
MatchedExact by DRI
6.
Морозова Н.Г. Оптимизация температурного режима насосной станции методом математического моделирования // Вопросы образования. – 1994. – № 6. – С. 84–122.
External source
7.
Kumar V., Anderson R. (2022). Deep residual learning for image recognition. Physical Review B, 14, 146–967. DOI: 10.1103/PhysRevB.2022.523806
External source
8.
Выготский Л.С. Педагогическая психология. – М.: Педагогика, 1991. – 480 с.
External source
9.
Zokirov Z.A., Safarov R.N. Biogaz manbalaridan foydalanib tishli uzatma energiya samaradorligini oshirish (Andijon viloyati misolida) // TDTU: fan, ta'lim va innovatsiya. – 2021. – №2. – B. 32–40.
MatchedFuzzy match, S = 1.00
10.
Qurbonova D.F. Tishli uzatma mustahkamlik ko'rsatkichlarini neyron tarmoqlar yordamida optimallashtirish // TDTU: fan, ta'lim va innovatsiya. – 2012. – №1. – B. 25–35.
MatchedFuzzy match, S = 1.00
11.
Umrzoqova, G. G'., Rustamova, N. J., & Rustamov, O. J. (2024). Quyosh kollektori musthkamlik ko'rsatkichlarini sonli usullar yordamida optimallashtirish. FarPI ilmiy-texnika jurnali, 12(3), 1–6. DRI: 20.1029/farpi/2024/v12_i3/64748468
MatchedExact by DRI
12.
Aliyeva, Sh. F. (2017). Paxta tozalash mashinasi energiya sarfnii matematik modellashtirish yordamida optimallashtirish. Toshkent. DRI: 20.1029/diss/d2017/44316660
MatchedExact by DRI
13.
Kuznetsova Y.A. Nasos stansiyasi texnologik parametrlarini sonli usullar yordamida optimallashtirish. – Toshkent: Iqtisodiyot, 1995. – 122 b.
External source
14.
Abdullayeva, Z. O., & Zokirov, G'. J. (2016). Temir yo'l izi texnologik parametrlarini genetik algoritm yordamida optimallashtirish. Texnika yulduzlari, 1–4. URL: https://nationaldri.uz/20.1006/ty/2016/i1/58359858
MatchedExact by DRI
15.
Karimova L.J. Shamol generatori tebranish xarakteristikalarini sonli usullar yordamida optimallashtirish // Til va adabiyot ta'limi. – 2014. – №10. – B. 3–70.
External source
16.
Морозова Н.Г. Оптимизация режимов работы насосной станции методом математического моделирования // Химия и жизнь. – 2017. – № 6. – С. 77–100.
Under review
17.
Hasanov, S. M., Usmonova, R. K., & Oripova, O. S. (2021). Tishli uzatma harorat rejimini neyron tarmoqlar yordamida optimallashtirish. Ekologiya xabarnomasi, 1–8. URL: https://nationaldri.uz/20.2004/15478416
MatchedExact by DRI
18.
Umrzoqova G.G'., Kenjayev Z.Sh., Morozova N.G. PAXTA TOZALASH MASHINASI ISHONCHLILIGINI SONLI USULLAR BILAN BAHOLASH // TDTU: fan, ta'lim va innovatsiya. – 2018. – №1. – B. 19–24.
MatchedFuzzy match, S = 1.00

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.
Морозова Н.Г. Оптимизация энергопотребления насосной станции методом математического моделирования // Вопросы истории. – 2020. – № 8. – С. 37–149.
Under review

[2] 2.
Islomova Z.X., Umarova Sh.A. Nasos stansiyasi mustahkamlik ko'rsatkichlarini eksperimental tadqiqot yordamida optimallashtirish // «Energiya tejamkorligi va qayta tiklanuvchi manbalar» mavzusidagi respublika ilmiy-amaliy konferensiya materiallari. – Toshkent, 2021. – B. 9–12.
MatchedFuzzy match, S = 0.93→ Nasos stansiyasi mustahkamlik ko'rsatkichlarini eksperimental tadqiqot yordamida optimallashtirish

[3] 3.
Mahmudova, R. Z. (2018). Tishli uzatma ishonchliligini sonli usullar bilan asosiy baholash. TIQXMMI ilmiy-uslubiy jurnali, 10(2), 1–9.
MatchedFuzzy match, S = 1.00

[4] 4.
Johnson M. (2020). Machine learning methods for credit scoring revisited. IEEE Access, 51, 89–904. https://doi.org/10.1109/ACCESS.2020.23993
External source

[5] 5.
Hasanov, S. M., & Oripova, O. S. (2015). Kmpressor qurilmasi ishonchliligini eksperimental tadqiqot bilan baholash. Ilm-fan va texnika taraqqiyoti, 2(10), 1–10. https://nationaldri.uz/20.2002/ift/2015/v2_i10/16445780
MatchedExact by DRI

[6] 6.
Морозова Н.Г. Оптимизация температурного режима насосной станции методом математического моделирования // Вопросы образования. – 1994. – № 6. – С. 84–122.
External source

[7] 7.
Kumar V., Anderson R. (2022). Deep residual learning for image recognition. Physical Review B, 14, 146–967. DOI: 10.1103/PhysRevB.2022.523806
External source

[8] 8.
Выготский Л.С. Педагогическая психология. – М.: Педагогика, 1991. – 480 с.
External source

[9] 9.
Zokirov Z.A., Safarov R.N. Biogaz manbalaridan foydalanib tishli uzatma energiya samaradorligini oshirish (Andijon viloyati misolida) // TDTU: fan, ta'lim va innovatsiya. – 2021. – №2. – B. 32–40.
MatchedFuzzy match, S = 1.00

[10] 10.
Qurbonova D.F. Tishli uzatma mustahkamlik ko'rsatkichlarini neyron tarmoqlar yordamida optimallashtirish // TDTU: fan, ta'lim va innovatsiya. – 2012. – №1. – B. 25–35.
MatchedFuzzy match, S = 1.00

[11] 11.
Umrzoqova, G. G'., Rustamova, N. J., & Rustamov, O. J. (2024). Quyosh kollektori musthkamlik ko'rsatkichlarini sonli usullar yordamida optimallashtirish. FarPI ilmiy-texnika jurnali, 12(3), 1–6. DRI: 20.1029/farpi/2024/v12_i3/64748468
MatchedExact by DRI

[12] 12.
Aliyeva, Sh. F. (2017). Paxta tozalash mashinasi energiya sarfnii matematik modellashtirish yordamida optimallashtirish. Toshkent. DRI: 20.1029/diss/d2017/44316660
MatchedExact by DRI

[13] 13.
Kuznetsova Y.A. Nasos stansiyasi texnologik parametrlarini sonli usullar yordamida optimallashtirish. – Toshkent: Iqtisodiyot, 1995. – 122 b.
External source

[14] 14.
Abdullayeva, Z. O., & Zokirov, G'. J. (2016). Temir yo'l izi texnologik parametrlarini genetik algoritm yordamida optimallashtirish. Texnika yulduzlari, 1–4. URL: https://nationaldri.uz/20.1006/ty/2016/i1/58359858
MatchedExact by DRI

[15] 15.
Karimova L.J. Shamol generatori tebranish xarakteristikalarini sonli usullar yordamida optimallashtirish // Til va adabiyot ta'limi. – 2014. – №10. – B. 3–70.
External source

[16] 16.
Морозова Н.Г. Оптимизация режимов работы насосной станции методом математического моделирования // Химия и жизнь. – 2017. – № 6. – С. 77–100.
Under review

[17] 17.
Hasanov, S. M., Usmonova, R. K., & Oripova, O. S. (2021). Tishli uzatma harorat rejimini neyron tarmoqlar yordamida optimallashtirish. Ekologiya xabarnomasi, 1–8. URL: https://nationaldri.uz/20.2004/15478416
MatchedExact by DRI

[18] 18.
Umrzoqova G.G'., Kenjayev Z.Sh., Morozova N.G. PAXTA TOZALASH MASHINASI ISHONCHLILIGINI SONLI USULLAR BILAN BAHOLASH // TDTU: fan, ta'lim va innovatsiya. – 2018. – №1. – B. 19–24.
MatchedFuzzy match, S = 1.00