Simulation of a trained trained neural network of a fuzzy l fuzzy logic regul ogic regulation sy tion system based on the co STEM based on the cotton drying process

S.T. Yunusova

Тошкент давлат техника университети хабарлари · 2019-yil

Annotatsiya

The article discusses the modeling of a fuzzy-logical system of regulation of the process of drying of raw cotton. The tasks of overcoming uncertainties arising in the process of operation of technological units at the enterprises of the cotton-cleaning industry are presented. An example of solving such a problem by using an artificial neural network is given. Mathematical models based on the neural network have been developed that are used to formalize the process of drying raw cotton and determine the optimal tuned parameters of the fuzzy-logical PID controller, allowing the fate of changing the operating modes of the technological units of the drying drum. A method for determining the number of synoptic weights of artificial neural networks is proposed, which minimizes the number of trainings and increases the speed of management decisions. To train the neural network weights use the reverse spreading error method. The range of variation of the regulator parameter is justified, taking into account the features of the cotton drying process. As a result, the proposed model was used in the control system of the drying process in terms of quality indicators, which led to an increase in the accuracy of the technological process.

Maqola ma’lumotlari
MualliflarS.T. Yunusova
JurnalТошкент давлат техника университети хабарлари
NashriyotТошкент давлат техника университети
ISSN2181-0400, 2181-1180
Nashr sanasi2019-08-02
Jild2019
Son2
Betlar218-223
TilIngliz
Ilmiy sohaTexnika
DOI10.51346/tstu-01.19.2.-77-0027
Indeksga qo‘shilgan2026-09-02

DOI: 10.51346/tstu-01.19.2.-77-0027 · Maqolaning asl sahifasi

Ilmiy soha

Texnika

Iqtibos keltirish

APAS.T. Yunusova (2019). SIMULATION OF A TRAINED TRAINED NEURAL NETWORK OF A FUZZY L FUZZY LOGIC REGUL OGIC REGULATION SY TION SYSTEM BASED ON THE CO STEM BASED ON THE COTTON DRYING PROCESS. Тошкент давлат техника университети хабарлари, 2019(2), 218-223. https://doi.org/10.51346/tstu-01.19.2.-77-0027
GOST (OAK)S.T. Yunusova SIMULATION OF A TRAINED TRAINED NEURAL NETWORK OF A FUZZY L FUZZY LOGIC REGUL OGIC REGULATION SY TION SYSTEM BASED ON THE CO STEM BASED ON THE COTTON DRYING PROCESS // Тошкент давлат техника университети хабарлари. – 2019. – T. 2019, № 2. – P. 218-223. – DOI: 10.51346/tstu-01.19.2.-77-0027.
MLAS.T. Yunusova. “SIMULATION OF A TRAINED TRAINED NEURAL NETWORK OF A FUZZY L FUZZY LOGIC REGUL OGIC REGULATION SY TION SYSTEM BASED ON THE CO STEM BASED ON THE COTTON DRYING PROCESS.” Тошкент давлат техника университети хабарлари, 2019(2), 218-223, 2019. https://doi.org/10.51346/tstu-01.19.2.-77-0027
ChicagoS.T. Yunusova. “SIMULATION OF A TRAINED TRAINED NEURAL NETWORK OF A FUZZY L FUZZY LOGIC REGUL OGIC REGULATION SY TION SYSTEM BASED ON THE CO STEM BASED ON THE COTTON DRYING PROCESS.” Тошкент давлат техника университети хабарлари, 2019(2), 218-223 (2019). https://doi.org/10.51346/tstu-01.19.2.-77-0027
HarvardS.T. Yunusova (2019) ‘SIMULATION OF A TRAINED TRAINED NEURAL NETWORK OF A FUZZY L FUZZY LOGIC REGUL OGIC REGULATION SY TION SYSTEM BASED ON THE CO STEM BASED ON THE COTTON DRYING PROCESS’, Тошкент давлат техника университети хабарлари, 2019(2), 218-223. https://doi.org/10.51346/tstu-01.19.2.-77-0027
BibTeX
@article{styunusova2019,
  title = {SIMULATION OF A TRAINED TRAINED NEURAL NETWORK OF A FUZZY L FUZZY LOGIC REGUL OGIC REGULATION SY TION SYSTEM BASED ON THE CO STEM BASED ON THE COTTON DRYING PROCESS},
  author = {S.T. Yunusova},
  journal = {Тошкент давлат техника университети хабарлари},
  year = {2019},
  volume = {2019},
  number = {2},
  pages = {218-223},
  doi = {10.51346/tstu-01.19.2.-77-0027},
  url = {https://doi.org/10.51346/tstu-01.19.2.-77-0027}
}

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