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https://hdl.handle.net/20.500.14279/17956
Title: | Artificial neural networks in energy applications in buildings | Authors: | Kalogirou, Soteris A. | Major Field of Science: | Engineering and Technology | Field Category: | Environmental Engineering | Keywords: | Artificial neural networks;Energy prediction;Building applications | Issue Date: | Jul-2006 | Source: | International Journal of Low Carbon Technologies, 2006, vol. 1, no. 3, pp. 201–216 | Volume: | 1 | Issue: | 3 | Start page: | 201 | End page: | 216 | Journal: | International Journal of Low Carbon Technologies | Abstract: | Artificial neural networks (ANNs) are nowadays accepted as an alternative technology offering a way to tackle complex and ill-defined problems. They are not programmed in the traditional way but they are trained using past history data representing the behaviour of a system. They have been used in a number of diverse applications. Results presented in this paper are testimony to the potential of artificial neural networks as a design tool in many areas of building services engineering. | URI: | https://hdl.handle.net/20.500.14279/17956 | ISSN: | 17481317 | DOI: | 10.1093/ijlct/1.3.201 | Rights: | © Manchester University Press 2006 | Type: | Article | Affiliation : | Higher Technical Institute Cyprus | Publication Type: | Peer Reviewed |
Appears in Collections: | Άρθρα/Articles |
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1-3-201.pdf | Fulltext | 224.47 kB | Adobe PDF | View/Open |
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