Neural Network Model of Energy Saving of Combined Drum Dryer

dc.contributor.author	Safarov Elyorbek Xasanovich
dc.date.accessioned	2026-01-01T10:47:09Z
dc.date.issued	2023-05-28
dc.description.abstract	This article is devoted to the construction of a neural network model for predicting the electricity consumption of a combined dryer. The neural network model was carried out in the Neural Networks Toolbox package in Matlab. The adequacy of the built model was determined and compared with the experimental results.
dc.format	application/pdf
dc.identifier.uri	https://zienjournals.com/index.php/tjet/article/view/4060
dc.identifier.uri	https://asianeducationindex.com/handle/123456789/60808
dc.language.iso	eng
dc.publisher	Zien Journals
dc.relation	https://zienjournals.com/index.php/tjet/article/view/4060/3365
dc.rights	https://creativecommons.org/licenses/by-nc/4.0
dc.source	Texas Journal of Engineering and Technology; Vol. 20 (2023): TJET; 45-50
dc.source	2770-4491
dc.subject	combined drum dryer
dc.subject	neural network model
dc.subject	grain dryer
dc.subject	drying process
dc.title	Neural Network Model of Energy Saving of Combined Drum Dryer
dc.type	info:eu-repo/semantics/article
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	Peer-reviewed Article

item.page.files

pagination.showing.labelpagination.showing.detail

item.page.filesection.name: xasanovich_2023_neural_network_model_of_energy_saving_of.pdf
item.page.filesection.size: 546.16 KB
item.page.filesection.format: Adobe Portable Document Format