An intelligence parameter classification approach for energy storage and natural convection and heat transfer of nano-encapsulated phase change material: Deep neural networks

An intelligence parameter classification approach for energy storage and natural convection and heat transfer of nano-encapsulated phase change material: Deep neural networks

A deep neural network is utilized to classify the parameters of a natural convection heat transfer of a nano-encapsulated phase change material suspension using the isotherm images for the first time. A natural convection flow and heat transfer simulation dataset were created and used as a training...

Полное описание

Библиографическая информация
Опубликовано в: :	Neural computing and applications Vol. 35, № 27. P. 19719-19727
Другие авторы:	Ghalambaz, Mohammad, Edalatifar, Mohammad, Maryamnegar, Sara Moradi, Sheremet, Mikhail A.
Формат:	Статья в журнале
Язык:	English
Предметы:	теплопередача естественная конвекция инкапсулированные суспензии материалы с фазовым переходом глубокие нейронные сети статьи в журналах
Online-ссылка:	http://vital.lib.tsu.ru/vital/access/manager/Repository/koha:001133658

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