Nasos stansiyasi texnologik parametrlarini imitatsion modellashtirish yordamida optimallashtirish

Temirov Botir

Dissertation · 2025

Nasos stansiyasi texnologik parametrlarini imitatsion modellashtirish yordamida optimallashtirish

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20.3001/diss/d2025/64968114Uzbek

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Temirov Botirno linked profile
Андижанский машиностроительный институт

Abstract

Ushbu maqolada «Nasos stansiyasi texnologik parametrlarini imitatsion modellashtirish yordamida optimallashtirish» mavzusi tahlil qilingan. Tadqiqotda statistik tahlil va modellashtirish usullaridan foydalanilgan. Natijalar nasos stansiyasi samaradorligini oshirishga xizmat qiladi.

Keywords

Bibliographic details

DRI: 20.3001/diss/d2025/64968114
Work type: Dissertation
Published: 19 April 2025
Language: Uzbek
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.

21 entries9 matched3 under review9 external

1.
Wang L., Chen Y., Anderson R. (2024). Language learning motivation in higher education. Agricultural Water Management, 118, 788–982. DOI: 10.1016/j.agwat.2024.328341
External source
2.
Saidov O.R. Issiqlik almashtirgich harorat rejimini genetik algoritm yordamida optimallashtirish // «Tilshunoslik va adabiyotshunoslikning dolzarb masalalari» mavzusidagi respublika ilmiy-amaliy konferensiya materiallari. – Toshkent, 2021. – B. 60–62.
MatchedFuzzy match, S = 1.00→ Issiqlik almashtirgich harorat rejimini genetik algoritm yordamida optimallashtirish
3.
Silva R., Martin C., Kumar V. (2006). Machine learning methods for credit scoring. Computers & Education, 120, 759–902.
External source
4.
Volkov A.N. G'altakli konveyer uchun nanomateriallar asosida yangi konstruksiya ishlab chiqish. – Toshkent: O‘qituvchi, 2014. – 292 b.
External source
5.
Волков А.Н. Оптимизация температурного режима асинхронного двигателя методом математического моделирования // Педагогика. – 2016. – № 7. – С. 34–135.
Under review
6.
Islomova O'.Z. Issiqlik almashtirgich harorat rejimini matematik modellashtirish yordamida optimallashtirish. – Toshkent: Adabiyot uchqunlari, 2021. – 240 b.
Under review
7.
Кузнецова Е.А. Оптимизация температурного режима насосной станции методом математического моделирования // Физика твёрдого тела. – 1990. – № 11. – С. 61–132.
External source
8.
Nguyen T., Martin C. (2022). Thin film solar cells: materials and performance. Journal of Chemical Education, 63, 568–986.
External source
9.
Johnson M., Silva R., Novak P. (2025). Deep residual learning for image recognition: evidence from panel data. World Development, 48, 538–930.
External source
10.
Mo'minova, M. H., & Volkov, A. N. (2023). Оптимизация температурного режима насосной станции методом математического моделирования (на примере Хорезма). TDTU ilmiy-uslubiy jurnali, 15(3), 18–28. https://nationaldri.uz/20.1006/tdtuilm/2023/v15_i3/43408656
MatchedExact by DRI
11.
Sidorov V.P. Quyosh kollektori tebranish xarakteristikalarini sonli usullar yordamida optimallashtirish // Til va adabiyot ta'limi. – 2017. – №12. – B. 34–69.
External source
12.
To'xtayeva N.B. Kompressor qurilmasi texnologik parametrlarini neyron tarmoqlar yordamida optimallashtirish // TDTU: fan, ta'lim va innovatsiya. – 2023. – №1. – B. 6–18.
MatchedFuzzy match, S = 1.00
13.
Shukurova R.N., Durdiyev J.A., Nurmatov Y.U., va boshq. Optimization of solar collectors using numerical methods // TDTU: fan, ta'lim va innovatsiya. – 2018. – B. 19–28. URL: https://nationaldri.uz/20.1006/41662859
MatchedExact by DRI
14.
Abdurahmonov A.G'. Polimer kompozitlarning korroziyaga chidamliligiga reaksiya vaqti ta'siri // Kimyo va kimyoviy texnologiya. – 2017. – №4. – B. 6–9.
MatchedFuzzy match, S = 1.00
15.
Berdiyeva H.M., Shukurova N.M. Mikroorganizmlarining genetik xilma-xilligi (Farg'ona viloyati misolida) 80 // «Energiya tejamkorligi va qayta tiklanuvchi manbalar» mavzusidagi respublika ilmiy-amaliy konferensiya materiallari. – Toshkent, 2022. – B. 137–140.
MatchedFuzzy match, S = 1.00
16.
Петрова А.С. Оптимизация режимов работы солнечного коллектора методом математического моделирования. – М.: Наука, 2012. – 150 с.
Under review
17.
Qurbonova, D. F. (2012). Tishli uzatma mustahkamlik ko'rsatkichlarini neyron tarmoqlar yordamida optimallashtirish. TDTU: fan, ta'lim va innovatsiya, 2(1), 25–35.
MatchedFuzzy match, S = 1.00
18.
O'zbekiston Respublikasining «Ta'lim to'g'risida»gi Qonuni. – Toshkent, 2020.
External source
19.
Garcia L., Müller K. (2022). Clinical outcomes of metformin therapy in type 2 diabetes: evidence from panel data. World Development, 144, 774–914. DOI: 10.1016/j.worlddev.2022.351560
External source
20.
Mo'minova, Z. V., Hasanov, O. A., & Haydarov, P. Z. (2023). Nasos stansiyasi ishonchliligini sonli usullar bilan baholash. TDTU: fan, ta'lim va innovatsiya, 13(1), 1–5.
MatchedFuzzy match, S = 1.00
21.
Jabborov, S. N., & Haydarov, B. J. (2017). Kompressor qurilmasi uchun mahalliy xomashyo sosida yangi konstruksiya ishlab chiqish. Texnika yulduzlari, 5–16. – DRI 20.1006/ty/2017/i11/15006499
MatchedExact by DRI

Citing works

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

Authors:
DRI20.3001/diss/d2025/29611569 Open on nationaldri.uzDissertation4views0downloads
Year2025
Citations0

[1] 1.
Wang L., Chen Y., Anderson R. (2024). Language learning motivation in higher education. Agricultural Water Management, 118, 788–982. DOI: 10.1016/j.agwat.2024.328341
External source

[2] 2.
Saidov O.R. Issiqlik almashtirgich harorat rejimini genetik algoritm yordamida optimallashtirish // «Tilshunoslik va adabiyotshunoslikning dolzarb masalalari» mavzusidagi respublika ilmiy-amaliy konferensiya materiallari. – Toshkent, 2021. – B. 60–62.
MatchedFuzzy match, S = 1.00→ Issiqlik almashtirgich harorat rejimini genetik algoritm yordamida optimallashtirish

[3] 3.
Silva R., Martin C., Kumar V. (2006). Machine learning methods for credit scoring. Computers & Education, 120, 759–902.
External source

[4] 4.
Volkov A.N. G'altakli konveyer uchun nanomateriallar asosida yangi konstruksiya ishlab chiqish. – Toshkent: O‘qituvchi, 2014. – 292 b.
External source

[5] 5.
Волков А.Н. Оптимизация температурного режима асинхронного двигателя методом математического моделирования // Педагогика. – 2016. – № 7. – С. 34–135.
Under review

[6] 6.
Islomova O'.Z. Issiqlik almashtirgich harorat rejimini matematik modellashtirish yordamida optimallashtirish. – Toshkent: Adabiyot uchqunlari, 2021. – 240 b.
Under review

[7] 7.
Кузнецова Е.А. Оптимизация температурного режима насосной станции методом математического моделирования // Физика твёрдого тела. – 1990. – № 11. – С. 61–132.
External source

[8] 8.
Nguyen T., Martin C. (2022). Thin film solar cells: materials and performance. Journal of Chemical Education, 63, 568–986.
External source

[9] 9.
Johnson M., Silva R., Novak P. (2025). Deep residual learning for image recognition: evidence from panel data. World Development, 48, 538–930.
External source

[10] 10.
Mo'minova, M. H., & Volkov, A. N. (2023). Оптимизация температурного режима насосной станции методом математического моделирования (на примере Хорезма). TDTU ilmiy-uslubiy jurnali, 15(3), 18–28. https://nationaldri.uz/20.1006/tdtuilm/2023/v15_i3/43408656
MatchedExact by DRI

[11] 11.
Sidorov V.P. Quyosh kollektori tebranish xarakteristikalarini sonli usullar yordamida optimallashtirish // Til va adabiyot ta'limi. – 2017. – №12. – B. 34–69.
External source

[12] 12.
To'xtayeva N.B. Kompressor qurilmasi texnologik parametrlarini neyron tarmoqlar yordamida optimallashtirish // TDTU: fan, ta'lim va innovatsiya. – 2023. – №1. – B. 6–18.
MatchedFuzzy match, S = 1.00

[13] 13.
Shukurova R.N., Durdiyev J.A., Nurmatov Y.U., va boshq. Optimization of solar collectors using numerical methods // TDTU: fan, ta'lim va innovatsiya. – 2018. – B. 19–28. URL: https://nationaldri.uz/20.1006/41662859
MatchedExact by DRI

[14] 14.
Abdurahmonov A.G'. Polimer kompozitlarning korroziyaga chidamliligiga reaksiya vaqti ta'siri // Kimyo va kimyoviy texnologiya. – 2017. – №4. – B. 6–9.
MatchedFuzzy match, S = 1.00

[15] 15.
Berdiyeva H.M., Shukurova N.M. Mikroorganizmlarining genetik xilma-xilligi (Farg'ona viloyati misolida) 80 // «Energiya tejamkorligi va qayta tiklanuvchi manbalar» mavzusidagi respublika ilmiy-amaliy konferensiya materiallari. – Toshkent, 2022. – B. 137–140.
MatchedFuzzy match, S = 1.00

[16] 16.
Петрова А.С. Оптимизация режимов работы солнечного коллектора методом математического моделирования. – М.: Наука, 2012. – 150 с.
Under review

[17] 17.
Qurbonova, D. F. (2012). Tishli uzatma mustahkamlik ko'rsatkichlarini neyron tarmoqlar yordamida optimallashtirish. TDTU: fan, ta'lim va innovatsiya, 2(1), 25–35.
MatchedFuzzy match, S = 1.00

[18] 18.
O'zbekiston Respublikasining «Ta'lim to'g'risida»gi Qonuni. – Toshkent, 2020.
External source

[19] 19.
Garcia L., Müller K. (2022). Clinical outcomes of metformin therapy in type 2 diabetes: evidence from panel data. World Development, 144, 774–914. DOI: 10.1016/j.worlddev.2022.351560
External source

[20] 20.
Mo'minova, Z. V., Hasanov, O. A., & Haydarov, P. Z. (2023). Nasos stansiyasi ishonchliligini sonli usullar bilan baholash. TDTU: fan, ta'lim va innovatsiya, 13(1), 1–5.
MatchedFuzzy match, S = 1.00

[21] 21.
Jabborov, S. N., & Haydarov, B. J. (2017). Kompressor qurilmasi uchun mahalliy xomashyo sosida yangi konstruksiya ishlab chiqish. Texnika yulduzlari, 5–16. – DRI 20.1006/ty/2017/i11/15006499
MatchedExact by DRI