Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/17956
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kalogirou, Soteris A. | - |
dc.date.accessioned | 2020-03-04T08:05:48Z | - |
dc.date.available | 2020-03-04T08:05:48Z | - |
dc.date.issued | 2006-07 | - |
dc.identifier.citation | International Journal of Low Carbon Technologies, 2006, vol. 1, no. 3, pp. 201–216 | en_US |
dc.identifier.issn | 17481317 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.14279/17956 | - |
dc.description.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. | en_US |
dc.format | en_US | |
dc.language.iso | en | en_US |
dc.relation.ispartof | International Journal of Low Carbon Technologies | en_US |
dc.rights | © Manchester University Press 2006 | en_US |
dc.subject | Artificial neural networks | en_US |
dc.subject | Energy prediction | en_US |
dc.subject | Building applications | en_US |
dc.title | Artificial neural networks in energy applications in buildings | en_US |
dc.type | Article | en_US |
dc.collaboration | Higher Technical Institute Cyprus | en_US |
dc.subject.category | Environmental Engineering | en_US |
dc.journals | Open Access | en_US |
dc.country | Cyprus | en_US |
dc.subject.field | Engineering and Technology | en_US |
dc.publication | Peer Reviewed | en_US |
dc.identifier.doi | 10.1093/ijlct/1.3.201 | en_US |
dc.relation.issue | 3 | en_US |
dc.relation.volume | 1 | en_US |
cut.common.academicyear | 2005-2006 | en_US |
dc.identifier.spage | 201 | en_US |
dc.identifier.epage | 216 | en_US |
item.openairecristype | http://purl.org/coar/resource_type/c_6501 | - |
item.openairetype | article | - |
item.cerifentitytype | Publications | - |
item.grantfulltext | open | - |
item.languageiso639-1 | en | - |
item.fulltext | With Fulltext | - |
crisitem.journal.journalissn | 1748-1325 | - |
crisitem.journal.publisher | Oxford University Press | - |
crisitem.author.dept | Department of Mechanical Engineering and Materials Science and Engineering | - |
crisitem.author.faculty | Faculty of Engineering and Technology | - |
crisitem.author.orcid | 0000-0002-4497-0602 | - |
crisitem.author.parentorg | Faculty of Engineering and Technology | - |
Appears in Collections: | Άρθρα/Articles |
Files in This Item:
File | Description | Size | Format | |
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1-3-201.pdf | Fulltext | 224.47 kB | Adobe PDF | View/Open |
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