Shamol generatori texnologik parametrlarini matematik modellashtirish yordamida optimallashtirish

Haydarova O'g'iloy; Qodirov Sherzod Sayfulla o'g'li

doi:10.52017/tdtufti.2024.14.1.3

Article · 2024

Shamol generatori texnologik parametrlarini matematik modellashtirish yordamida optimallashtirish

Optimization of pumping stations using numerical methods

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20.1006/tdtufti/2024/v14_i1/51090963Uzbek

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Authors

Haydarova O'g'iloy ORCID 0000-0002-0017-847X (opens in a new tab)
Ташкентский государственный технический университет имени Ислама Каримова
Qodirov Sherzod Sayfulla o'g'lino linked profile
Mirzo Ulug'bek nomidagi O'zbekiston Milliy universiteti

Abstract

Ushbu maqolada «Shamol generatori texnologik parametrlarini matematik modellashtirish yordamida optimallashtirish» mavzusi tahlil qilingan. Tadqiqotda statistik tahlil va modellashtirish usullaridan foydalanilgan. Olingan natijalar shamol generatori sohasida amaliy ahamiyatga ega.

Keywords

Bibliographic details

DRI: 20.1006/tdtufti/2024/v14_i1/51090963
Work type: Article
Journal: TDTU: fan, ta'lim va innovatsiyaISSN 2181-0354
Volume and issue: Vol. 14, No. 1
Pages: 21–32
Published: 9 March 2024
Language: Uzbek
Subject: Arxitektura
External DOI: 10.52017/tdtufti.2024.14.1.3 (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.

12 entries5 matched2 under review5 external

1.
Yo'ldosheva, M. X., Mamatov, Z. A., Hamroyeva, Z. M., et al. (2017). Samarqand viloyati itqisodiyotida logistikaning va rivojlanish istiqbollari. Iqtisodiyot va innovatsion texnologiyalar, 2(1), 1–11.
MatchedFuzzy match, S = 1.00→ Samarqand viloyati iqtisodiyotida logistikaning o'rni va rivojlanish istiqbollari
2.
Морозова Н.Г. Оптимизация режимов работы асинхронного двигателя методом математического моделирования // Экономика и математические методы. – 2020. – № 4. – С. 61–129.
Under review
3.
Волков А.Н. Оптимизация температурного режима насосной станции методом математического моделирования. – М.: Наука, 2001. – 147 с.
Under review
4.
Tanaka H., Novak P., Kumar V. (2023). Machine learning methods for credit scoring. Sustainability, 91, 630–964.
External source
5.
Ivanov I.I. Tishli uzatma ishonchliligini genetik algoritm bilan baholash // Til va adabiyot ta'limi. – 2004. – №4. – B. 34–67.
External source
6.
Chen Y., Wang L. (2007). Critical thinking assessment in university students. World Development, 89, 339–992.
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7.
Tursunov M.A. Temir yo'l izi tebranish xarakteristikalarini genetik algoritm yordamida optimallashtirish. – Toshkent: Adabiyot uchqunlari, 2008. – 92 b.
External source
8.
Umarov B.Z., Tursunov J.Sh., Volkov A.N. Temir yo'l izi uchun mahalliy xomashyo asosida yangi konstruksiya ishlab chiqish // Nizomiy nomidagi TDPU ilmiy axborotlari. – 2018. – №4. – B. 1–4.
MatchedFuzzy match, S = 1.00
9.
Qodirov O.J. Paxta tozalash mashinasi harorat rejimini sonli usullar yordamida optimallashtirish // «Matematik fizika va tegishli muammolar» mavzusidagi respublika ilmiy-amaliy konferensiya materiallari. – Toshkent, 2016. – B. 11–14. https://nationaldri.uz/20.1002/ozmuconf2016/2016/98137319
MatchedExact by DRI
10.
Shukurova R.N., Normatova U.M., Abdurahmonov S.J. Quyosh kollektori ish rejimini matematik modellashtirish yordamida optimallashtirish // TDTU: fan, ta'lim va innovatsiya. – 2012. – №2. – B. 1–9.
MatchedFuzzy match, S = 1.00
11.
Jumayev B.B., Rasulov Y.V., Qurbonova D.F. ISSIQLIK ALMASHTIRGICH ISHONCHLILIGINI EKSPERIMENTAL TADQIQOT BILAN BAHOLASH // Raqamli texnologiyalar va taʻlim. – 2014. – B. 1–11.
MatchedFuzzy match, S = 1.00
12.
Silva R., Schmidt P., Rossi F. (2006). A meta-analysis of active learning in STEM education. Educational Psychology Review, 114, 163–931. DOI: 10.1007/s10648.2006.964533
External source

Citing works

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

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

[1] 1.
Yo'ldosheva, M. X., Mamatov, Z. A., Hamroyeva, Z. M., et al. (2017). Samarqand viloyati itqisodiyotida logistikaning va rivojlanish istiqbollari. Iqtisodiyot va innovatsion texnologiyalar, 2(1), 1–11.
MatchedFuzzy match, S = 1.00→ Samarqand viloyati iqtisodiyotida logistikaning o'rni va rivojlanish istiqbollari

[2] 2.
Морозова Н.Г. Оптимизация режимов работы асинхронного двигателя методом математического моделирования // Экономика и математические методы. – 2020. – № 4. – С. 61–129.
Under review

[3] 3.
Волков А.Н. Оптимизация температурного режима насосной станции методом математического моделирования. – М.: Наука, 2001. – 147 с.
Under review

[4] 4.
Tanaka H., Novak P., Kumar V. (2023). Machine learning methods for credit scoring. Sustainability, 91, 630–964.
External source

[5] 5.
Ivanov I.I. Tishli uzatma ishonchliligini genetik algoritm bilan baholash // Til va adabiyot ta'limi. – 2004. – №4. – B. 34–67.
External source

[6] 6.
Chen Y., Wang L. (2007). Critical thinking assessment in university students. World Development, 89, 339–992.
External source

[7] 7.
Tursunov M.A. Temir yo'l izi tebranish xarakteristikalarini genetik algoritm yordamida optimallashtirish. – Toshkent: Adabiyot uchqunlari, 2008. – 92 b.
External source

[8] 8.
Umarov B.Z., Tursunov J.Sh., Volkov A.N. Temir yo'l izi uchun mahalliy xomashyo asosida yangi konstruksiya ishlab chiqish // Nizomiy nomidagi TDPU ilmiy axborotlari. – 2018. – №4. – B. 1–4.
MatchedFuzzy match, S = 1.00

[9] 9.
Qodirov O.J. Paxta tozalash mashinasi harorat rejimini sonli usullar yordamida optimallashtirish // «Matematik fizika va tegishli muammolar» mavzusidagi respublika ilmiy-amaliy konferensiya materiallari. – Toshkent, 2016. – B. 11–14. https://nationaldri.uz/20.1002/ozmuconf2016/2016/98137319
MatchedExact by DRI

[10] 10.
Shukurova R.N., Normatova U.M., Abdurahmonov S.J. Quyosh kollektori ish rejimini matematik modellashtirish yordamida optimallashtirish // TDTU: fan, ta'lim va innovatsiya. – 2012. – №2. – B. 1–9.
MatchedFuzzy match, S = 1.00

[11] 11.
Jumayev B.B., Rasulov Y.V., Qurbonova D.F. ISSIQLIK ALMASHTIRGICH ISHONCHLILIGINI EKSPERIMENTAL TADQIQOT BILAN BAHOLASH // Raqamli texnologiyalar va taʻlim. – 2014. – B. 1–11.
MatchedFuzzy match, S = 1.00

[12] 12.
Silva R., Schmidt P., Rossi F. (2006). A meta-analysis of active learning in STEM education. Educational Psychology Review, 114, 163–931. DOI: 10.1007/s10648.2006.964533
External source