The use of artificial intelligence and machine learning in the management of heat transfer and cooling processes at production sites
| dc.contributor.author | Zhumabaeva, A. K. | |
| dc.contributor.author | Ormanbekova, A. A. | |
| dc.contributor.author | Imanbek, B. T. | |
| dc.date.accessioned | 2024-12-12T09:37:00Z | |
| dc.date.available | 2024-12-12T09:37:00Z | |
| dc.date.issued | 2024 | |
| dc.description.abstract | Over the past two decades, significant progress has been made in the use of machine learning methods (ML) for modeling heat transfer and heating systems. ML methods allow researchers to model highly linear and dynamic relationships between many variables, which were very complex tasks when using traditional empirical correlations. | |
| dc.identifier.citation | Zhumabaeva, A. K. The use of artificial intelligence and machine learning in the management of heat transfer and cooling processes at production sites / A. K. Zhumabaeva, A. A. Ormanbekova, B. T. Imanbek // Комп’ютерно-інтегровані технології автоматизації технологічних процесів на транспорті та у виробництві : матеріали всеукр. наук.-практ. конф. здобувачів вищ. освіти і молодих учених, 20 листоп. 2024 р. / Харків. нац. автомоб.-дор. ун-т. – Харкiв, 2024. – С. 91–94. | |
| dc.identifier.uri | https://dspace.khadi.kharkov.ua/handle/123456789/23129 | |
| dc.language.iso | en | |
| dc.publisher | Харківський національний автомобільно-дорожній універститет | |
| dc.subject | machine learning | |
| dc.subject | artificial intelligence | |
| dc.subject | heating | |
| dc.subject | ventilation and air conditioning systems | |
| dc.subject.udc | 004.896 | |
| dc.title | The use of artificial intelligence and machine learning in the management of heat transfer and cooling processes at production sites | |
| dc.type | Article |