SIMULATION OF A TRAINED TRAINED NEURAL NETWORK OF A FUZZY  LOGIC REGULATION SYSTEM BASED ON THE COTTON DRYING PROCESS

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29 январ 2020

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SIMULATION OF A TRAINED TRAINED NEURAL NETWORK OF A FUZZY LOGIC REGULATION SYSTEM BASED ON THE COTTON DRYING PROCESS

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MAQOLA ANNOTATSIYASI

Maqolada paxta xomashyosi quritish jarayonini tartibga soluvchi noqan’iy-mantiqiy tizimni modellashtirish masalalari ko'rib chiqilgan. Paxta tozalash sanoati korxonalarida texnologik qurilmalarni ishlatish jarayonida yuzaga keladigan noaniqliklarni bartaraf etish vazifalari taqdim etildi. Sun'iy neyron tarmoq orqali bunday muammolarni hal qilishning namunasi berilgan. Neyron tarmog'iga asoslangan matematik modellar ishlab chiqildi, u xom paxtani quritish jarayonini rasmiylashtirish va noqan’iy-mantiqiy PID kontrolatorining optimal sozlangan parametrlarini aniqlash uchun ishlatiladi, bu esa quritish tamburining texnologik qurilmalarining ish rejimlarini o'zgartirishga imkon beradi. Ishlab chiqilgan boshqaruv qarorlarining tezligini oshirishda va masalalar sonini minimallashtirishda sun'iy neyron tarmoqlarining sinoptik vaznlari sonini aniqlash usuli taklif etilgan. Neyron tarmoq’ining vaznlarini taxlil qilish uchun teskari tarqalish xatosi usulidan foydalanilgan. Paxtani quritish jarayonining xususiyatlarini hisobga olgan holda regulyator parametrlarini o'zgartirish diapazoniga asoslanadi. Natijada, texnologik jarayoning aniqligi oshishiga olib keladigan sifat ko'rsatkichlari bo'yicha quritish jarayonini boshqarish tizimida namunaviy taklif ishlatildi.

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# process# neural network# dryer# neural model# dynamic model of an object# PID controller# cotton drying

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Foydalanilgan adabiyotlar

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