Kompressor qurilmasi harorat rejimini eksperimental tadqiqot yordamida optimallashtirish

Aliyeva Shoira; Xolmatova Malika Anvar qizi; Morozova Natalya; Egamberdiyev S.N.; Durdiyev Tohir Sherzod o'g'li

Article · 2022

Kompressor qurilmasi harorat rejimini eksperimental tadqiqot yordamida optimallashtirish

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20.2003/mib/2022/v8_i3/53657593Uzbek

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Authors

Aliyeva Shoira ORCID 0000-0002-0028-2779 (opens in a new tab)
Farg'ona politexnika instituti
Xolmatova Malika Anvar qizi ORCID 0000-0002-0015-7687 (opens in a new tab)
TATU, Raqamli iqtisodiyot fakulteti
Morozova Natalyano linked profile
O'zR FA Yadro fizikasi instituti
Egamberdiyev S.N.no linked profile
Бухоро давлат университети
Durdiyev Tohir Sherzod o'g'lino linked profile
Westminster xalqaro universiteti Toshkentda

Abstract

Ushbu maqolada «Kompressor qurilmasi harorat rejimini eksperimental tadqiqot yordamida optimallashtirish» mavzusi tahlil qilingan. Tadqiqot davomida 73 nafar respondent ishtirokida tajriba-sinov ishlari o'tkazildi. Natijalar kompressor qurilmasi samaradorligini oshirishga xizmat qiladi.

Keywords

Bibliographic details

DRI: 20.2003/mib/2022/v8_i3/53657593
Work type: Article
Journal: Matematika instituti byulleteniISSN 2181-127X
Volume and issue: Vol. 8, No. 3
Pages: 5–10
Published: 29 July 2022
Language: Uzbek
Subject: Texnika
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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References

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

19 entries12 matched2 under review5 external

1.
Ergasheva N.B. Issiqlik almashtirgich harorat rejimini neyron tarmoqlar yordamida optimallashtirish // Til va adabiyot ta'limi. – 2020. – №9. – B. 14–77.
Under review
2.
Jabborova U.T., To'xtayev I.A. Aralash trdagi giperbolik tenglama uchun chegaraviy masala // JDPU ilmiy axborotnomasi. – 2019. – №2. – B. 12–18. URL: https://nationaldri.uz/20.1014/jdpu/2019/v2_i2/82935275
MatchedExact by DRI→ Aralash turdagi giperbolik tenglama uchun chegaraviy masala
3.
Novak P. (2009). Deep residual learning for image recognition in developing countries. Journal of Economic Perspectives, 105, 151–915. DOI: 10.1257/jep.2009.123389
External source
4.
Маматов З.К. Қуёш коллектори энергия сарфини генетик алгоритм ёрдамида оптималлаштириш // ФарПИ илмий-техника журнали. – 2019. – №4. – Б. 1–10.
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Смирнов Д.В. Оптимизация режимов работы солнечного коллектора методом математического моделирования // Вопросы образования. – 1991. – № 12. – С. 74–128.
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6.
Normatova, U. M., & Qodirov, A. A. (2017). Kompressor qurilmasi ishonchliligini matematik modellashtirish bilan haqida abholash. In «Kimyo va kimyoviy texnologiyaning dolzarb muammolari» mavzusidagi respublika ilmiy-amaliy konferensiya (pp. 10–12). Toshkent.
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Kuznetsova Y.A. Kompressor qurilmasi ishonchliligini genetik algoritm bilan baholash (Toshkent viloyati misolida) // Xalq ta'limi. – 2022. – №5. – B. 86–111.
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Rossi F., Kim S., Chen Y. (2016). Machine learning methods for credit scoring. Physical Review B, 143, 437–903.
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Egamberdiyev, S. N., Zokirov, S. A., Egamberdiyeva, Y. A., et al. (2021). Assessment of innovation activity in agriculture: evidence from Uzbekistan (case of Tashkent). BuxDU ilmiy axborotnomasi, 7(1), 1–11.
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Кузнецова Е.А. Оптимизация энергопотребления солнечного коллектора методом математического моделирования // Вопросы истории. – 2016. – № 7. – С. 49–145.
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11.
Зарипов, Р. С. (2022). Зулфия ижодида мифологик мотивларнинг бадиий талқини (Фарғона вилояти мисолида) 80. Ин «Узлуксиз таълим тизимида инноватсион ёндашувлар» мавзусидаги республика илмий-амалий конференсия (пп. 6–8). Тошкент.
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Mirzayeva N.D., Fayziyev A.K., Eshmatova G.A. Asinxron dvigatel ishonchliligini sonli usullar blan baholash // Texnika yulduzlari. – 2021. – №3. – B. 1–4.
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Холматова М.А., Шукуров А.Ғ., Абдураҳмонова Ш.Ғ. Ўзбек тилидаги матнларни генетик алгоритмлар ёрдамида таҳлил қилиш // ТАТУ: фан, таълим ва инноватсия. – 2017. – №4. – Б. 12–18.
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Haydarov, F. K., Ro’ziyev, Q. R., & Choriyeva, S. R. (2021). Quyosh kollektori ishonchliligini neyron tarmoqlar bilan baholash. FarPI ilmiy-texnika jurnali, 8–14.
MatchedFuzzy match, S = 1.00
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Haydarova O'.M. Biogaz manbalaridan foydalanib nasos stansiyasi energiya samaradorligini oshirish: fan nomzodi (PhD) diss. avtoreferati. – Toshkent, 2022. – 96 b. https://nationaldri.uz/20.1006/diss/d2022/95727486
MatchedExact by DRI
17.
Xolmatova, M. A., Qosimov, O. R., & Normatova, U. A. (2020). Samarqand viloyati sug'urta bozori investitsion jozibadorligini baholash (Navoiy viloyati misolida). TATU axborotnomasi, 1–9.
MatchedFuzzy match, S = 1.00
18.
Zokirov J.G'., Usmonova R.K. Optimization of pumping stations using genetic algorithms // TDTU ilmiy-uslubiy jurnali. – 2012. – №2. – B. 1–11.
MatchedFuzzy match, S = 1.00
19.
Xolmatova M.A. Лингвокультурологический анализ неологизмов в узбекском и русском языках (на примере Ташкента) 46 // Xalqaro moliya va hisob. – 2022. – №5. – B. 1–6.
MatchedFuzzy match, S = 1.00

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

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[1] 1.
Ergasheva N.B. Issiqlik almashtirgich harorat rejimini neyron tarmoqlar yordamida optimallashtirish // Til va adabiyot ta'limi. – 2020. – №9. – B. 14–77.
Under review

[2] 2.
Jabborova U.T., To'xtayev I.A. Aralash trdagi giperbolik tenglama uchun chegaraviy masala // JDPU ilmiy axborotnomasi. – 2019. – №2. – B. 12–18. URL: https://nationaldri.uz/20.1014/jdpu/2019/v2_i2/82935275
MatchedExact by DRI→ Aralash turdagi giperbolik tenglama uchun chegaraviy masala

[3] 3.
Novak P. (2009). Deep residual learning for image recognition in developing countries. Journal of Economic Perspectives, 105, 151–915. DOI: 10.1257/jep.2009.123389
External source

[4] 4.
Маматов З.К. Қуёш коллектори энергия сарфини генетик алгоритм ёрдамида оптималлаштириш // ФарПИ илмий-техника журнали. – 2019. – №4. – Б. 1–10.
MatchedFuzzy match, S = 1.00

[5] 5.
Смирнов Д.В. Оптимизация режимов работы солнечного коллектора методом математического моделирования // Вопросы образования. – 1991. – № 12. – С. 74–128.
External source

[6] 6.
Normatova, U. M., & Qodirov, A. A. (2017). Kompressor qurilmasi ishonchliligini matematik modellashtirish bilan haqida abholash. In «Kimyo va kimyoviy texnologiyaning dolzarb muammolari» mavzusidagi respublika ilmiy-amaliy konferensiya (pp. 10–12). Toshkent.
MatchedFuzzy match, S = 0.99

[7] 7.
Kuznetsova Y.A. Kompressor qurilmasi ishonchliligini genetik algoritm bilan baholash (Toshkent viloyati misolida) // Xalq ta'limi. – 2022. – №5. – B. 86–111.
External source

[8] 8.
Rossi F., Kim S., Chen Y. (2016). Machine learning methods for credit scoring. Physical Review B, 143, 437–903.
External source

[9] 9.
Egamberdiyev, S. N., Zokirov, S. A., Egamberdiyeva, Y. A., et al. (2021). Assessment of innovation activity in agriculture: evidence from Uzbekistan (case of Tashkent). BuxDU ilmiy axborotnomasi, 7(1), 1–11.
MatchedFuzzy match, S = 1.00

[10] 10.
Кузнецова Е.А. Оптимизация энергопотребления солнечного коллектора методом математического моделирования // Вопросы истории. – 2016. – № 7. – С. 49–145.
Under review

[11] 11.
Зарипов, Р. С. (2022). Зулфия ижодида мифологик мотивларнинг бадиий талқини (Фарғона вилояти мисолида) 80. Ин «Узлуксиз таълим тизимида инноватсион ёндашувлар» мавзусидаги республика илмий-амалий конференсия (пп. 6–8). Тошкент.
MatchedFuzzy match, S = 1.00

[12] 12.
Mirzayeva N.D., Fayziyev A.K., Eshmatova G.A. Asinxron dvigatel ishonchliligini sonli usullar blan baholash // Texnika yulduzlari. – 2021. – №3. – B. 1–4.
MatchedFuzzy match, S = 1.00

[13] 13.
Холматова М.А., Шукуров А.Ғ., Абдураҳмонова Ш.Ғ. Ўзбек тилидаги матнларни генетик алгоритмлар ёрдамида таҳлил қилиш // ТАТУ: фан, таълим ва инноватсия. – 2017. – №4. – Б. 12–18.
MatchedFuzzy match, S = 1.00

[14] 14.
Smith J. G'altakli konveyer ishonchliligini neyron tarmoqlar bilan baholash. – Toshkent: Universitet, 2005. – 185 b.
External source

[15] 15.
Haydarov, F. K., Ro’ziyev, Q. R., & Choriyeva, S. R. (2021). Quyosh kollektori ishonchliligini neyron tarmoqlar bilan baholash. FarPI ilmiy-texnika jurnali, 8–14.
MatchedFuzzy match, S = 1.00

[16] 16.
Haydarova O'.M. Biogaz manbalaridan foydalanib nasos stansiyasi energiya samaradorligini oshirish: fan nomzodi (PhD) diss. avtoreferati. – Toshkent, 2022. – 96 b. https://nationaldri.uz/20.1006/diss/d2022/95727486
MatchedExact by DRI

[17] 17.
Xolmatova, M. A., Qosimov, O. R., & Normatova, U. A. (2020). Samarqand viloyati sug'urta bozori investitsion jozibadorligini baholash (Navoiy viloyati misolida). TATU axborotnomasi, 1–9.
MatchedFuzzy match, S = 1.00

[18] 18.
Zokirov J.G'., Usmonova R.K. Optimization of pumping stations using genetic algorithms // TDTU ilmiy-uslubiy jurnali. – 2012. – №2. – B. 1–11.
MatchedFuzzy match, S = 1.00

[19] 19.
Xolmatova M.A. Лингвокультурологический анализ неологизмов в узбекском и русском языках (на примере Ташкента) 46 // Xalqaro moliya va hisob. – 2022. – №5. – B. 1–6.
MatchedFuzzy match, S = 1.00

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