Temir yo'l izi ishonchliligini matematik modellashtirish bilan baholash

Зарипов Акмал Зокир ўғли

Book · 2016

Temir yo'l izi ishonchliligini matematik modellashtirish bilan baholash

Optimization of solar collectors using numerical methods

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20.1006/books/b2016/96138791Uzbek

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Зарипов Акмал Зокир ўғлиno linked profile
Islom Karimov nomidagi Toshkent davlat texnika universiteti

Abstract

Ushbu maqolada «Temir yo'l izi ishonchliligini matematik modellashtirish bilan baholash» mavzusi tahlil qilingan. Tadqiqot davomida 164 nafar respondent ishtirokida tajriba-sinov ishlari o'tkazildi. Olingan natijalar temir yo'l izi sohasida amaliy ahamiyatga ega.

Keywords

Bibliographic details

DRI: 20.1006/books/b2016/96138791
Work type: Book
Published: 13 August 2016
Language: Uzbek
Passport mirror: synced 21/09/2026, 16:47, version 1

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Excluding self-citations: 14

Excluding self-citations

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References

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

23 entries12 matched1 under review10 external

1.
Smith J. Nasos stansiyasi tebranish xarakteristikalarini sonli usullar yordamida optimallashtirish // Xalq ta'limi. – 2009. – №6. – B. 23–91.
External source
2.
Сидоров В.П. Оптимизация режимов работы асинхронного двигателя методом математического моделирования // Вопросы истории. – 1994. – № 5. – С. 66–115.
External source
3.
Zaripov, A. Z., & G'aniyev, A. U. (2012). Ionit smolalarning korroziyaga chidamliligiga katalizator tabiati ta'siri. Texnika yulduzlari, 1–8.
MatchedFuzzy match, S = 1.00
4.
G'afurova O.X., Mahmudova R.Z., Nurmatov J.E. Tishli uzatma uchun mahalliy xomashyo asosida yangi konstruksiya ishlab chiqish // Texnika yulduzlari. – 2012. – №5. – B. 1–9. URL: https://nationaldri.uz/20.1006/ty/2012/i5/12452876
MatchedExact by DRI
5.
Петрова А.С. Оптимизация энергопотребления насосной станции методом математического моделирования. – М.: Наука, 2011. – 449 с.
External source
6.
Hasanov, S. M., & Oripova, O. S. (2015). Kompressor qurilmasi ishonchliligini eksperimental tadqiqot bilan baholash. Ilm-fan va texnika taraqqiyoti, 2(10), 1–10. DRI: 20.2002/ift/2015/v2_i10/16445780
MatchedExact by DRI
7.
Nazarov, S. A., & Yoqubova, S. R. (2012). G'altakli konveyer tebranish xarakteristikalarini iimtatsion modellashtirish yordamida optimallashtirish. Toshkent.
MatchedFuzzy match, S = 0.99
8.
Brown A. (1999). Deep residual learning for image recognition. World Development, 173, 309–967.
External source
9.
Aliyeva, Sh. F. (2013). Optimization of power distribution networks using mathematical modelling. FarPI ilmiy-texnika jurnali, 1(2), 1–11. URL: https://nationaldri.uz/20.1029/farpi/2013/v1_i2/65664708
MatchedExact by DRI
10.
Зарипов, А. З., Эшматова, С. Х., & Гарсиа, Л. (2013). Синтез и комплексных соедиений. Техника юлдузлари, 1–4.
MatchedFuzzy match, S = 0.95
11.
Смирнов Д.В. Оптимизация температурного режима асинхронного двигателя методом математического моделирования // Физика твёрдого тела. – 1993. – № 3. – С. 44–91.
External source
12.
Ikromov B.N., Valiyev Q.Y. Оптимизация эергопотребления насосной методом математического моделирования // TDTU ilmiy-uslubiy jurnali. – 2013. – B. 12–20.
MatchedFuzzy match, S = 1.00
13.
Martin C., Tanaka H., Garcia L. (2012). Soil salinity mapping using remote sensing data in developing countries. IEEE Access, 171, 790–905. DOI: 10.1109/ACCESS.2012.309568
External source
14.
Morozova N.G. Temir yo'l izi energiya sarfini genetik algoritm yordamida optimallashtirish // Xalq ta'limi. – 2016. – №4. – B. 22–108.
External source
15.
Mirziyoyev Sh.M. Yangi O'zbekiston strategiyasi. – Toshkent: O'zbekiston, 2021. – 464 b.
External source
16.
Xoliqov G'.Z., Haydarova D.L., Xamidov J.I., va boshq. Оптимизация температурного режима насосной станции методом математического моделирования // FarPI ilmiy-texnika jurnali. – 2014. – №3. – B. 1–5.
MatchedFuzzy match, S = 1.00
17.
Xoliqov G'.Z., Husanova D.R., Qosimova G.O., va boshq. Quyosh energiyasi manbalaridan foydalanib shamol generatori energiya samaradorligini oshirish // Ilm-fan va texnika taraqqiyoti. – 2016. – №2. – B. 1–9.
MatchedFuzzy match, S = 1.00
18.
Mirzayev, Q. J., & Toshpo'latova, N. Y. (2013). Tishli uzatma ishonchliligini eksperimental tadqiqot bilan baholash. TIQXMMI ilmiy-uslubiy jurnali, 5(2), 1–6.
MatchedFuzzy match, S = 1.00
19.
Müller K., Silva R. (2006). Deep residual learning for image recognition. World Development, 173, 717–970.
External source
20.
Zokirov, S. A. (2014). Bank tizimi korxonaalrida innovatsion faoliyat samaradorligini. In «Zamonaviy matematikaning dolzarb muammolari» mavzusidagi respublika ilmiy-amaliy konferensiya (pp. 5–8). Toshkent.
Under review
21.
Nurmatova, Z. F., Müller, K., Haydarova, U. L., et al. (2013). Asinxron dvigatel uchun mahalliy xomahsyo asosida yangi konstruksiya ishlab chiqish. Texnika yulduzlari, 1–11.
MatchedFuzzy match, S = 1.00
22.
Aliyeva N.Sh., Bozorova G.I., Husanov P.B., va boshq. Paxta tozalash mshinasi harorat rejimini neyron tarmoqlar yordamida optimallashtirish // TDTU ilmiy-uslubiy jurnali. – 2013. – B. 1–4.
MatchedFuzzy match, S = 1.00
23.
Brown A. (2000). Deep residual learning for image recognition. Educational Psychology Review, 81, 146–926. DOI: 10.1007/s10648.2000.249010
External source

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[1] 1.
Smith J. Nasos stansiyasi tebranish xarakteristikalarini sonli usullar yordamida optimallashtirish // Xalq ta'limi. – 2009. – №6. – B. 23–91.
External source

[2] 2.
Сидоров В.П. Оптимизация режимов работы асинхронного двигателя методом математического моделирования // Вопросы истории. – 1994. – № 5. – С. 66–115.
External source

[3] 3.
Zaripov, A. Z., & G'aniyev, A. U. (2012). Ionit smolalarning korroziyaga chidamliligiga katalizator tabiati ta'siri. Texnika yulduzlari, 1–8.
MatchedFuzzy match, S = 1.00

[4] 4.
G'afurova O.X., Mahmudova R.Z., Nurmatov J.E. Tishli uzatma uchun mahalliy xomashyo asosida yangi konstruksiya ishlab chiqish // Texnika yulduzlari. – 2012. – №5. – B. 1–9. URL: https://nationaldri.uz/20.1006/ty/2012/i5/12452876
MatchedExact by DRI

[5] 5.
Петрова А.С. Оптимизация энергопотребления насосной станции методом математического моделирования. – М.: Наука, 2011. – 449 с.
External source

[6] 6.
Hasanov, S. M., & Oripova, O. S. (2015). Kompressor qurilmasi ishonchliligini eksperimental tadqiqot bilan baholash. Ilm-fan va texnika taraqqiyoti, 2(10), 1–10. DRI: 20.2002/ift/2015/v2_i10/16445780
MatchedExact by DRI

[7] 7.
Nazarov, S. A., & Yoqubova, S. R. (2012). G'altakli konveyer tebranish xarakteristikalarini iimtatsion modellashtirish yordamida optimallashtirish. Toshkent.
MatchedFuzzy match, S = 0.99

[8] 8.
Brown A. (1999). Deep residual learning for image recognition. World Development, 173, 309–967.
External source

[9] 9.
Aliyeva, Sh. F. (2013). Optimization of power distribution networks using mathematical modelling. FarPI ilmiy-texnika jurnali, 1(2), 1–11. URL: https://nationaldri.uz/20.1029/farpi/2013/v1_i2/65664708
MatchedExact by DRI

[10] 10.
Зарипов, А. З., Эшматова, С. Х., & Гарсиа, Л. (2013). Синтез и комплексных соедиений. Техника юлдузлари, 1–4.
MatchedFuzzy match, S = 0.95

[11] 11.
Смирнов Д.В. Оптимизация температурного режима асинхронного двигателя методом математического моделирования // Физика твёрдого тела. – 1993. – № 3. – С. 44–91.
External source

[12] 12.
Ikromov B.N., Valiyev Q.Y. Оптимизация эергопотребления насосной методом математического моделирования // TDTU ilmiy-uslubiy jurnali. – 2013. – B. 12–20.
MatchedFuzzy match, S = 1.00

[13] 13.
Martin C., Tanaka H., Garcia L. (2012). Soil salinity mapping using remote sensing data in developing countries. IEEE Access, 171, 790–905. DOI: 10.1109/ACCESS.2012.309568
External source

[14] 14.
Morozova N.G. Temir yo'l izi energiya sarfini genetik algoritm yordamida optimallashtirish // Xalq ta'limi. – 2016. – №4. – B. 22–108.
External source

[15] 15.
Mirziyoyev Sh.M. Yangi O'zbekiston strategiyasi. – Toshkent: O'zbekiston, 2021. – 464 b.
External source

[16] 16.
Xoliqov G'.Z., Haydarova D.L., Xamidov J.I., va boshq. Оптимизация температурного режима насосной станции методом математического моделирования // FarPI ilmiy-texnika jurnali. – 2014. – №3. – B. 1–5.
MatchedFuzzy match, S = 1.00

[17] 17.
Xoliqov G'.Z., Husanova D.R., Qosimova G.O., va boshq. Quyosh energiyasi manbalaridan foydalanib shamol generatori energiya samaradorligini oshirish // Ilm-fan va texnika taraqqiyoti. – 2016. – №2. – B. 1–9.
MatchedFuzzy match, S = 1.00

[18] 18.
Mirzayev, Q. J., & Toshpo'latova, N. Y. (2013). Tishli uzatma ishonchliligini eksperimental tadqiqot bilan baholash. TIQXMMI ilmiy-uslubiy jurnali, 5(2), 1–6.
MatchedFuzzy match, S = 1.00

[19] 19.
Müller K., Silva R. (2006). Deep residual learning for image recognition. World Development, 173, 717–970.
External source

[20] 20.
Zokirov, S. A. (2014). Bank tizimi korxonaalrida innovatsion faoliyat samaradorligini. In «Zamonaviy matematikaning dolzarb muammolari» mavzusidagi respublika ilmiy-amaliy konferensiya (pp. 5–8). Toshkent.
Under review

[21] 21.
Nurmatova, Z. F., Müller, K., Haydarova, U. L., et al. (2013). Asinxron dvigatel uchun mahalliy xomahsyo asosida yangi konstruksiya ishlab chiqish. Texnika yulduzlari, 1–11.
MatchedFuzzy match, S = 1.00

[22] 22.
Aliyeva N.Sh., Bozorova G.I., Husanov P.B., va boshq. Paxta tozalash mshinasi harorat rejimini neyron tarmoqlar yordamida optimallashtirish // TDTU ilmiy-uslubiy jurnali. – 2013. – B. 1–4.
MatchedFuzzy match, S = 1.00

[23] 23.
Brown A. (2000). Deep residual learning for image recognition. Educational Psychology Review, 81, 146–926. DOI: 10.1007/s10648.2000.249010
External source

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