Dynamic-neural modelling of the thermal behaviour of buildings

This paper reports on an on-going research project concerned with developing an alternative approach to simulating the thermal behaviour of residential buildings, based on artificial neural networks (ANNs). The primary objective is to capitalize on the modelling versatility of neural networks to fac...

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محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Abi Shdid, C. (author)
مؤلفون آخرون: Issa, R.R. (author), Flood, I. (author)
التنسيق: conferenceObject
منشور في: 2017
الوصول للمادة أونلاين:http://hdl.handle.net/10725/5733
http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php
http://dl.acm.org/citation.cfm?id=870639
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author Abi Shdid, C.
author2 Issa, R.R.
Flood, I.
author2_role author
author
author_facet Abi Shdid, C.
Issa, R.R.
Flood, I.
author_role author
dc.creator.none.fl_str_mv Abi Shdid, C.
Issa, R.R.
Flood, I.
dc.date.none.fl_str_mv 2017-06-07T07:58:02Z
2017-06-07T07:58:02Z
2017-06-07
dc.identifier.none.fl_str_mv 0-948749-84-9
http://hdl.handle.net/10725/5733
Issa, R. R., Flood, I., & Shdid, C. A. (2002, September). Dynamic-neural modelling of the thermal behaviour of buildings. In Proceedings of the third international conference on Engineering computational technology (pp. 205-206). Civil-Comp press.
http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php
http://dl.acm.org/citation.cfm?id=870639
dc.language.none.fl_str_mv en
dc.publisher.none.fl_str_mv ACM
dc.rights.*.fl_str_mv info:eu-repo/semantics/openAccess
dc.title.none.fl_str_mv Dynamic-neural modelling of the thermal behaviour of buildings
dc.type.none.fl_str_mv Conference Paper / Proceeding
info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/conferenceObject
description This paper reports on an on-going research project concerned with developing an alternative approach to simulating the thermal behaviour of residential buildings, based on artificial neural networks (ANNs). The primary objective is to capitalize on the modelling versatility of neural networks to facilitate coarse-grain modelling of complicated composite structures, and to allow design variables to be treated as simple inputs to the model. This approach, in contrast to more conventional modelling approaches (such as the finite element or finite difference methods), enables models to be built quickly, reduces the processing time of a simulation, and allows alternative designs to be evaluated without having to rebuild the model. Such a tool will enable a large number of alternative design decisions to be evaluated within a short period of time, thus allowing an architectural design to be fine-tuned to minimize life cycle costs.
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Issa, R. R., Flood, I., & Shdid, C. A. (2002, September). Dynamic-neural modelling of the thermal behaviour of buildings. In Proceedings of the third international conference on Engineering computational technology (pp. 205-206). Civil-Comp press.
language_invalid_str_mv en
network_acronym_str LAURepo
network_name_str Lebanese American University repository
oai_identifier_str oai:laur.lau.edu.lb:10725/5733
publishDate 2017
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spelling Dynamic-neural modelling of the thermal behaviour of buildingsAbi Shdid, C.Issa, R.R.Flood, I.This paper reports on an on-going research project concerned with developing an alternative approach to simulating the thermal behaviour of residential buildings, based on artificial neural networks (ANNs). The primary objective is to capitalize on the modelling versatility of neural networks to facilitate coarse-grain modelling of complicated composite structures, and to allow design variables to be treated as simple inputs to the model. This approach, in contrast to more conventional modelling approaches (such as the finite element or finite difference methods), enables models to be built quickly, reduces the processing time of a simulation, and allows alternative designs to be evaluated without having to rebuild the model. Such a tool will enable a large number of alternative design decisions to be evaluated within a short period of time, thus allowing an architectural design to be fine-tuned to minimize life cycle costs.N/AACM2017-06-07T07:58:02Z2017-06-07T07:58:02Z2017-06-07Conference Paper / Proceedinginfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject0-948749-84-9http://hdl.handle.net/10725/5733Issa, R. R., Flood, I., & Shdid, C. A. (2002, September). Dynamic-neural modelling of the thermal behaviour of buildings. In Proceedings of the third international conference on Engineering computational technology (pp. 205-206). Civil-Comp press.http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.phphttp://dl.acm.org/citation.cfm?id=870639eninfo:eu-repo/semantics/openAccessoai:laur.lau.edu.lb:10725/57332021-03-19T10:00:54Z
spellingShingle Dynamic-neural modelling of the thermal behaviour of buildings
Abi Shdid, C.
status_str publishedVersion
title Dynamic-neural modelling of the thermal behaviour of buildings
title_full Dynamic-neural modelling of the thermal behaviour of buildings
title_fullStr Dynamic-neural modelling of the thermal behaviour of buildings
title_full_unstemmed Dynamic-neural modelling of the thermal behaviour of buildings
title_short Dynamic-neural modelling of the thermal behaviour of buildings
title_sort Dynamic-neural modelling of the thermal behaviour of buildings
url http://hdl.handle.net/10725/5733
http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php
http://dl.acm.org/citation.cfm?id=870639