Generating hot water by solar energy and application of neural network

dc.contributor.authors	Cetiner, C; Halici, F; Cacur, H; Taymaz, I;
dc.date.accessioned	2020-02-26T08:47:38Z
dc.date.available	2020-02-26T08:47:38Z
dc.date.issued	2005
dc.identifier.citation	Cetiner, C; Halici, F; Cacur, H; Taymaz, I; (2005). Generating hot water by solar energy and application of neural network. APPLIED THERMAL ENGINEERING, 25, 1348-1337
dc.identifier.issn	1359-4311
dc.identifier.uri	https://doi.org/10.1016/j.applthermaleng.2004.09.004
dc.identifier.uri	https://hdl.handle.net/20.500.12619/50059
dc.description.abstract	Experimental data were obtained and used to train an artificial neural network in order to implement a mapping between easily measurable features such as environmental conditions, input and output water temperatures, solar radiation and flow rate of hot water. (C) 2004 Elsevier Ltd. All rights reserved.
dc.language	English
dc.publisher	PERGAMON-ELSEVIER SCIENCE LTD
dc.subject	Mechanics
dc.title	Generating hot water by solar energy and application of neural network
dc.type	Article
dc.identifier.volume	25
dc.identifier.startpage	1337
dc.identifier.endpage	1348
dc.contributor.department	Sakarya Üniversitesi/Mühendislik Fakültesi/Makine Mühendisliği Bölümü
dc.contributor.saüauthor	Taymaz, İmdat
dc.contributor.saüauthor	Halıcı, Fethi
dc.relation.journal	APPLIED THERMAL ENGINEERING
dc.identifier.wos	WOS:000227503300018
dc.identifier.doi	10.1016/j.applthermaleng.2004.09.004
dc.contributor.author	Taymaz, İmdat
dc.contributor.author	Halıcı, Fethi