Kompressor qurilmasi mustahkamlik ko'rsatkichlarini matematik modellashtirish yordamida optimallashtirish

Toshmatov Elyor Shavkat o'g'li

Maqola · 2020

Kompressor qurilmasi mustahkamlik ko'rsatkichlarini matematik modellashtirish yordamida optimallashtirish

Optimization of power distribution networks using neural networks

Pasportni tahrirlash — nationaldri.uz

20.1006/tdtuilm/2020/v12_i1/17880171O'zbekcha

Pasport

nationaldri.uz registridagi pasport ko'zgusi. Tahrir faqat nationaldri.uz da amalga oshiriladi.

Mualliflar

Toshmatov Elyor Shavkat o'g'li ORCID 0000-0002-0018-3930 (yangi oynada ochiladi)
TDTU

Annotatsiya

Ushbu maqolada «Kompressor qurilmasi mustahkamlik ko'rsatkichlarini matematik modellashtirish yordamida optimallashtirish» mavzusi tahlil qilingan. Maqolada xorijiy va mahalliy tajriba qiyosiy tahlil qilingan. Muallif tomonidan kompressor qurilmasi bo'yicha takliflar va tavsiyalar ishlab chiqilgan.

Kalit so'zlar

Bibliografik ma'lumotlar

DRI: 20.1006/tdtuilm/2020/v12_i1/17880171
Ish turi: Maqola
Jurnal: TDTU ilmiy-uslubiy jurnaliISSN 2181-0338
Jild va son: 12-jild, 1-son
Sahifalar: 1–13
Nashr sanasi: 30-yanvar, 2020
Til: O'zbekcha
Pasport ko'zgusi: 21.09.2026, 16:48 da sinxronlangan, versiya 1

Ko'rsatkichlar

Iqtiboslar

O'z-o'ziga iqtibossiz: 5

O'z-o'ziga iqtibossiz

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Manba bo'yicha statistika

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Manba	Ko'rishlar	Yuklab olishlar
Jurnal sahifasijournal.milliykengash.com	0	0
Konferensiya to'plamiconference.milliykengash.com	0	0
DRI resolvernationaldri.uz orqali o'tishlar	5	—
Jami	5	0

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Adabiyotlar ro'yxati

Ish havola bergan manbalar va ularning registrdagi ishlar bilan moslashtirilishi.

Jami 20 ta yozuv8 ta moslandi2 ta moderatorda10 ta tashqi manba

1.
Johnson M., Müller K., Lee J. (2012). Deep residual learning for image recognition. Educational Psychology Review, 50, 586–930.
Tashqi manba
2.
Rasulova, G. D. (2012). Optimization of pumping stations using neural nteworks. Texnika yulduzlari, 1–4.
MoslandiTaxminiy moslik, S = 1,00→ Optimization of pumping stations using neural networks
3.
Samuelson P., Nordhaus W. Economics. 19th ed. – New York: McGraw-Hill, 2010. – 744 p.
Tashqi manba
4.
Ҳайдарова Ў.М., Тошматов Э.Ш., Умарова Д.Ш., ва бошқ. Оптимизатион оф пумпинг статионс усинг матҳематисал моделлинг // Техника юлдузлари. – 2017. – №6. – Б. 1–10.
MoslandiTaxminiy moslik, S = 1,00
5.
Brown A., Silva R. (2014). Soil salinity mapping using remote sensing data. IEEE Access, 27, 435–938. https://doi.org/10.1109/ACCESS.2014.788707
Tashqi manba
6.
Husanov A.B. Shamol energiyasi manbalaridan foydalanib quyosh kollektori energiya samaradorligini oshirish // Xalq ta'limi. – 2018. – №2. – B. 12–102.
Tashqi manba
7.
Silva R., Kumar V. (2006). Economic growth and institutional quality in transition economies. Journal of Chemical Education, 163, 83–933. https://doi.org/10.1021/acs.jchemed.2006.719770
Tashqi manba
8.
Aliyeva Sh.F. Paxta tozalash mashinasi energiya sarfini matematik modellashtirish yordamida optimallashtirish: fan nomzodi (PhD) diss. avtoreferati. – Toshkent, 2017. – 50 b.
Moderatorda
9.
Qosimov J.T. Elektr tarmog'i ishonchliligini matematik modellashtirish bilan baholash. – Toshkent: Adabiyot uchqunlari, 2019. – 217 b.
Moderatorda
10.
Müller K., Martin C. (2007). Financial inclusion and small business development. Sustainability, 50, 240–920.
Tashqi manba
11.
Novak P., Kim S., Müller K. (2016). Renewable energy transition in Central Asia revisited. Journal of Economic Perspectives, 26, 441–920. DOI: 10.1257/jep.2016.983487
Tashqi manba
12.
Aliyeva M.A. Geotermal energiya manbalaridan foydalanib elektr tarmog'i energiya samaradorligini oshirish // Xalq ta'limi. – 2010. – №4. – B. 44–107.
Tashqi manba
13.
Aliyev, B. Sh., Qodirov, A. I., & Morozova, N. G. (2013). Digital transormation of the banking sector in Asia. Xalqaro moliya va hisob, 2(2), 13–16.
MoslandiTaxminiy moslik, S = 0,99
14.
Garcia L., Schmidt P. (2012). Deep residual learning for image recognition: a systematic review. Sustainability, 133, 346–989.
Tashqi manba
15.
Roʻziyev M.Sh., Rahimov Sh.E., Islomov M.X. Geotermal energiya manbalaridan foydalanib gʻaltakli konveyer energiya amaradorligini oshirish // TDTU ilmiy-uslubiy jurnali. – 2015. – №1. – B. 1–10.
MoslandiTaxminiy moslik, S = 1,00
16.
Norqulov, T. A. (2013). Gʼaltakli konveyer ishonchliligini sonli usullar bilan baholash. ToshDAU ilmiy-uslubiy jurnali, 4(1), 1–10.
MoslandiTaxminiy moslik, S = 1,00
17.
Qurbonova D.F. Tishli uzatma mustahkamlik ko'rsatkichlarini neyron tarmoqlar yordamida optimallashtirish // TDTU: fan, ta'lim va innovatsiya. – 2012. – №1. – B. 25–35.
MoslandiTaxminiy moslik, S = 1,00
18.
Rasulova, G. D. (2019). Qayta tiklanuvchi energiya manbalaridan foydalanib asinxron dvigatel energiya asmaradorligini oshirish. Toshkent. URL: https://nationaldri.uz/20.3001/diss/d2019/22572921
MoslandiDRI bo'yicha aniq
19.
Kumar V. (2008). Gamification in education: a systematic review. Agricultural Water Management, 149, 729–963. https://doi.org/10.1016/j.agwat.2008.554204
Tashqi manba
20.
Aliyeva, Sh. F. (2013). Optimization of power distribution networks using mathematical modelling. FarPI ilmiy-texnika jurnali, 1(2), 1–11. DRI: 20.1029/farpi/2013/v1_i2/65664708
MoslandiDRI bo'yicha aniq

Iqtibos beruvchi ishlar

Registrdagi shu ishga havola bergan ishlar, yangilari birinchi.

Mualliflar: Jalilova GulbahorTil va adabiyot ta'limi
DRI20.1033/tat/2026/i1/26765588 nationaldri.uz da ochishMaqola2ko'rish0yuklab olish
Yil2026
Iqtiboslar0
Mualliflar: , , Til va adabiyot ta'limi
DRI20.1033/tat/2023/i3/20257481 nationaldri.uz da ochishMaqola17ko'rish0yuklab olish

[1] 1.
Johnson M., Müller K., Lee J. (2012). Deep residual learning for image recognition. Educational Psychology Review, 50, 586–930.
Tashqi manba

[2] 2.
Rasulova, G. D. (2012). Optimization of pumping stations using neural nteworks. Texnika yulduzlari, 1–4.
MoslandiTaxminiy moslik, S = 1,00→ Optimization of pumping stations using neural networks

[3] 3.
Samuelson P., Nordhaus W. Economics. 19th ed. – New York: McGraw-Hill, 2010. – 744 p.
Tashqi manba

[4] 4.
Ҳайдарова Ў.М., Тошматов Э.Ш., Умарова Д.Ш., ва бошқ. Оптимизатион оф пумпинг статионс усинг матҳематисал моделлинг // Техника юлдузлари. – 2017. – №6. – Б. 1–10.
MoslandiTaxminiy moslik, S = 1,00

[5] 5.
Brown A., Silva R. (2014). Soil salinity mapping using remote sensing data. IEEE Access, 27, 435–938. https://doi.org/10.1109/ACCESS.2014.788707
Tashqi manba

[6] 6.
Husanov A.B. Shamol energiyasi manbalaridan foydalanib quyosh kollektori energiya samaradorligini oshirish // Xalq ta'limi. – 2018. – №2. – B. 12–102.
Tashqi manba

[7] 7.
Silva R., Kumar V. (2006). Economic growth and institutional quality in transition economies. Journal of Chemical Education, 163, 83–933. https://doi.org/10.1021/acs.jchemed.2006.719770
Tashqi manba

[8] 8.
Aliyeva Sh.F. Paxta tozalash mashinasi energiya sarfini matematik modellashtirish yordamida optimallashtirish: fan nomzodi (PhD) diss. avtoreferati. – Toshkent, 2017. – 50 b.
Moderatorda

[9] 9.
Qosimov J.T. Elektr tarmog'i ishonchliligini matematik modellashtirish bilan baholash. – Toshkent: Adabiyot uchqunlari, 2019. – 217 b.
Moderatorda

[10] 10.
Müller K., Martin C. (2007). Financial inclusion and small business development. Sustainability, 50, 240–920.
Tashqi manba

[11] 11.
Novak P., Kim S., Müller K. (2016). Renewable energy transition in Central Asia revisited. Journal of Economic Perspectives, 26, 441–920. DOI: 10.1257/jep.2016.983487
Tashqi manba

[12] 12.
Aliyeva M.A. Geotermal energiya manbalaridan foydalanib elektr tarmog'i energiya samaradorligini oshirish // Xalq ta'limi. – 2010. – №4. – B. 44–107.
Tashqi manba

[13] 13.
Aliyev, B. Sh., Qodirov, A. I., & Morozova, N. G. (2013). Digital transormation of the banking sector in Asia. Xalqaro moliya va hisob, 2(2), 13–16.
MoslandiTaxminiy moslik, S = 0,99

[14] 14.
Garcia L., Schmidt P. (2012). Deep residual learning for image recognition: a systematic review. Sustainability, 133, 346–989.
Tashqi manba

[15] 15.
Roʻziyev M.Sh., Rahimov Sh.E., Islomov M.X. Geotermal energiya manbalaridan foydalanib gʻaltakli konveyer energiya amaradorligini oshirish // TDTU ilmiy-uslubiy jurnali. – 2015. – №1. – B. 1–10.
MoslandiTaxminiy moslik, S = 1,00

[16] 16.
Norqulov, T. A. (2013). Gʼaltakli konveyer ishonchliligini sonli usullar bilan baholash. ToshDAU ilmiy-uslubiy jurnali, 4(1), 1–10.
MoslandiTaxminiy moslik, S = 1,00

[17] 17.
Qurbonova D.F. Tishli uzatma mustahkamlik ko'rsatkichlarini neyron tarmoqlar yordamida optimallashtirish // TDTU: fan, ta'lim va innovatsiya. – 2012. – №1. – B. 25–35.
MoslandiTaxminiy moslik, S = 1,00

[18] 18.
Rasulova, G. D. (2019). Qayta tiklanuvchi energiya manbalaridan foydalanib asinxron dvigatel energiya asmaradorligini oshirish. Toshkent. URL: https://nationaldri.uz/20.3001/diss/d2019/22572921
MoslandiDRI bo'yicha aniq

[19] 19.
Kumar V. (2008). Gamification in education: a systematic review. Agricultural Water Management, 149, 729–963. https://doi.org/10.1016/j.agwat.2008.554204
Tashqi manba

[20] 20.
Aliyeva, Sh. F. (2013). Optimization of power distribution networks using mathematical modelling. FarPI ilmiy-texnika jurnali, 1(2), 1–11. DRI: 20.1029/farpi/2013/v1_i2/65664708
MoslandiDRI bo'yicha aniq

month	Ko'rishlar	Yuklab olishlar
iyl 2026	1	0
sen 2026	4	0

month	Ko'rishlar	Yuklab olishlar
iyl 2026	1	0
sen 2026	4	0