Optimization of induction motors using neural networks (case of Fergana) 50

Komilov Sh.G'.; Sharipov Mansur Muhammad o'g'li

Abstract · 2026

Optimization of induction motors using neural networks (case of Fergana) 50

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20.2002/mkconf2026/2026/67670058English

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Komilov Sh.G'.no linked profile
TDTU
Sharipov Mansur Muhammad o'g'li ORCID 0000-0002-0018-372X (opens in a new tab)
Ташкентский государственный технический университет имени Ислама Каримова

Abstract

The article examines optimization of induction motors using neural networks (case of Fergana) 50. A comparative analysis of international experience is provided. Practical recommendations are proposed.

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DRI: 20.2002/mkconf2026/2026/67670058
Work type: Abstract
Pages: 134–135
Published: 20 February 2026
Language: English
Full text: Open on the publisher's page (opens in a new tab)
Passport mirror: synced 21/09/2026, 17:50, version 3

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References

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8 entries5 matched0 under review3 external

1.
Lee J., Brown A. (2014). Thin film solar cells: materials and performance: a systematic review. Energy Policy, 108, 639–912. https://doi.org/10.1016/j.enpol.2014.415410
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MatchedFuzzy match, S = 1.00→ Geotermal energiya manbalaridan foydalanib tishli uzatma energiya samaradorligini oshirish
3.
Durdiyev J.A., Garcia L., Aliyeva S.A., va boshq. Optimization of solar collectors using neural networks // TDTU: fan, ta'lim va innovatsiya. – 2015. – №2. – B. 16–27. DOI: 10.52017/tdtufti.2015.5.2.3
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4.
Петрова А.С. Оптимизация энергопотребления насосной станции методом математического моделирования. – М.: Наука, 1996. – 249 с.
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Zaripova O`.A., Po`latov K.K. Asinxron dvigatel uchun nanomateriallar asosida yangi konstruksiya chiqish // TDTU: fan, ta`lim va innovatsiya. – 2016. – B. 12–15.
MatchedFuzzy match, S = 1.00
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Sultonov S.B. Quyosh energiyasi manbalaridan foydalanib g'altakli konveyer energiya samaradorligini oshirish // Til va adabiyot ta'limi. – 2000. – №10. – B. 6–72.
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Abdurahmonova S.M. Transformator podstansiyasi texnologik parametrlarini eksperimental tadqiqot yordamida optimallashtirish // FarPI ilmiy-texnika jurnali. – 2024. – №2. – B. 1–5. DRI: 20.1029/farpi/2024/v12_i2/21400506
MatchedExact by DRI
8.
Норматова С.И., Шарипов М.М. Насос стансияси энергия сарфини экспериментал тадқиқот ёрдамида оптималлаштириш // ТДТУ илмий-услубий журнали. – 2024. – №2. – Б. 40–52.
MatchedFuzzy match, S = 1.00

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[1] 1.
Lee J., Brown A. (2014). Thin film solar cells: materials and performance: a systematic review. Energy Policy, 108, 639–912. https://doi.org/10.1016/j.enpol.2014.415410
External source

[2] 2.
Yusupova L.B., Zaripov A.Z., Ergashev H.I., va boshq. Geotermal energiya manbalaridan foydalanib tishli uzatma energiya ba'zi samaradorligini oshirish // TDTU: fan, ta'lim va innovatsiya. – 2012. – №2. – B. 10–16.
MatchedFuzzy match, S = 1.00→ Geotermal energiya manbalaridan foydalanib tishli uzatma energiya samaradorligini oshirish

[3] 3.
Durdiyev J.A., Garcia L., Aliyeva S.A., va boshq. Optimization of solar collectors using neural networks // TDTU: fan, ta'lim va innovatsiya. – 2015. – №2. – B. 16–27. DOI: 10.52017/tdtufti.2015.5.2.3
MatchedExact by DOI

[4] 4.
Петрова А.С. Оптимизация энергопотребления насосной станции методом математического моделирования. – М.: Наука, 1996. – 249 с.
External source

[5] 5.
Zaripova O`.A., Po`latov K.K. Asinxron dvigatel uchun nanomateriallar asosida yangi konstruksiya chiqish // TDTU: fan, ta`lim va innovatsiya. – 2016. – B. 12–15.
MatchedFuzzy match, S = 1.00

[6] 6.
Sultonov S.B. Quyosh energiyasi manbalaridan foydalanib g'altakli konveyer energiya samaradorligini oshirish // Til va adabiyot ta'limi. – 2000. – №10. – B. 6–72.
External source

[7] 7.
Abdurahmonova S.M. Transformator podstansiyasi texnologik parametrlarini eksperimental tadqiqot yordamida optimallashtirish // FarPI ilmiy-texnika jurnali. – 2024. – №2. – B. 1–5. DRI: 20.1029/farpi/2024/v12_i2/21400506
MatchedExact by DRI

[8] 8.
Норматова С.И., Шарипов М.М. Насос стансияси энергия сарфини экспериментал тадқиқот ёрдамида оптималлаштириш // ТДТУ илмий-услубий журнали. – 2024. – №2. – Б. 40–52.
MatchedFuzzy match, S = 1.00