Neural model of residential building air infiltration process

For the needs of this paper, certain area of issues associated with the infiltration process and neural networks were selected. In the scope of infiltration process, the measurements and analysis of air infiltration through the buildings have shown how difficult this process is in terms of strict m...

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Main Authors: Pawel Malinowski, Iwona Polarczyk, Jerzy Piotrowski
Format: Article
Language:English
Published: Vilnius Gediminas Technical University 2006-03-01
Series:Journal of Civil Engineering and Management
Subjects:
Online Access:http://localhost/journals.vgtu.lt/index.php/JCEM/article/view/8787
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spelling doaj-f7a3a57946fd4dba92f62986339b94f62021-07-02T11:48:33ZengVilnius Gediminas Technical UniversityJournal of Civil Engineering and Management1392-37301822-36052006-03-0112110.3846/13923730.2006.9636377Neural model of residential building air infiltration processPawel Malinowski0Iwona Polarczyk1Jerzy Piotrowski2Institute of Airâ€Conditioning and District Heating , Technical University of Wroclaw , 4/6 Norwida Street, Wroclaw, 50–370, PolandInstitute of Airâ€Conditioning and District Heating , Technical University of Wroclaw , 4/6 Norwida Street, Wroclaw, 50–370, PolandInstitute of Civil Engineering , Swietokrzyski Technical University , 1000â€lecia Street, Kielce, 25–314, Poland For the needs of this paper, certain area of issues associated with the infiltration process and neural networks were selected. In the scope of infiltration process, the measurements and analysis of air infiltration through the buildings have shown how difficult this process is in terms of strict mathematical models formulation. In the scope of neural networks, attention was given to multiâ€layer perceptrons and systems composed of them. It must be noted that, due to the novelty of this method, a detailed description of the neuron network theory was presented in this paper as well as a thorough discussion of the neuron modelling process. The work was carried out in two stages, with the first stage covering the development of detailed methodology for the construction of neural model and the second stage in which a developed methodology was applied to modelling real objects. Neuroninis infiltracijos proceso gyvenamajame name modelis Santrauka Å iam straipsniui pasirinkti aspektai, susijÄ™ su infiltracijos procesu ir neuroniniais tinklais. Infiltracijos pastatuose matavimai parodÄ—, koks sudÄ—tingas yra griežtas matematinis Å¡io proceso modeliavimas. Analizuojant infiltracijos procesÄ… neuroniniu tinklu požiÅ«riu, dÄ—mesys buvo skiriamas daugiasluoksniams perceptronams ir iÅ¡ jų sudarytoms sistemoms. Atsižvelgiant į Å¡io metodo naujumÄ…, straipsnyje pateikiamas tiek neuronų tinklo teorijos, tiek iÅ¡samus neuroninio modeliavimo proceso apraÅ¡ymas. Darbas buvo atliktas dviem etapais: pirmajame sukurta neuroninio modelio sudarymo metodika, antrajame â€Å¡i metodika buvo pritaikyta realiems objektams modeliuoti. Raktiniai žodžiai: infiltracijos procesas, neuroniniai tinklai, neuroniniai modeliai. First Published Online: 14 Oct 2010 http://localhost/journals.vgtu.lt/index.php/JCEM/article/view/8787infiltration processneural networksneural models
collection DOAJ
language English
format Article
sources DOAJ
author Pawel Malinowski
Iwona Polarczyk
Jerzy Piotrowski
spellingShingle Pawel Malinowski
Iwona Polarczyk
Jerzy Piotrowski
Neural model of residential building air infiltration process
Journal of Civil Engineering and Management
infiltration process
neural networks
neural models
author_facet Pawel Malinowski
Iwona Polarczyk
Jerzy Piotrowski
author_sort Pawel Malinowski
title Neural model of residential building air infiltration process
title_short Neural model of residential building air infiltration process
title_full Neural model of residential building air infiltration process
title_fullStr Neural model of residential building air infiltration process
title_full_unstemmed Neural model of residential building air infiltration process
title_sort neural model of residential building air infiltration process
publisher Vilnius Gediminas Technical University
series Journal of Civil Engineering and Management
issn 1392-3730
1822-3605
publishDate 2006-03-01
description For the needs of this paper, certain area of issues associated with the infiltration process and neural networks were selected. In the scope of infiltration process, the measurements and analysis of air infiltration through the buildings have shown how difficult this process is in terms of strict mathematical models formulation. In the scope of neural networks, attention was given to multiâ€layer perceptrons and systems composed of them. It must be noted that, due to the novelty of this method, a detailed description of the neuron network theory was presented in this paper as well as a thorough discussion of the neuron modelling process. The work was carried out in two stages, with the first stage covering the development of detailed methodology for the construction of neural model and the second stage in which a developed methodology was applied to modelling real objects. Neuroninis infiltracijos proceso gyvenamajame name modelis Santrauka Å iam straipsniui pasirinkti aspektai, susijÄ™ su infiltracijos procesu ir neuroniniais tinklais. Infiltracijos pastatuose matavimai parodÄ—, koks sudÄ—tingas yra griežtas matematinis Å¡io proceso modeliavimas. Analizuojant infiltracijos procesÄ… neuroniniu tinklu požiÅ«riu, dÄ—mesys buvo skiriamas daugiasluoksniams perceptronams ir iÅ¡ jų sudarytoms sistemoms. Atsižvelgiant į Å¡io metodo naujumÄ…, straipsnyje pateikiamas tiek neuronų tinklo teorijos, tiek iÅ¡samus neuroninio modeliavimo proceso apraÅ¡ymas. Darbas buvo atliktas dviem etapais: pirmajame sukurta neuroninio modelio sudarymo metodika, antrajame â€Å¡i metodika buvo pritaikyta realiems objektams modeliuoti. Raktiniai žodžiai: infiltracijos procesas, neuroniniai tinklai, neuroniniai modeliai. First Published Online: 14 Oct 2010
topic infiltration process
neural networks
neural models
url http://localhost/journals.vgtu.lt/index.php/JCEM/article/view/8787
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AT iwonapolarczyk neuralmodelofresidentialbuildingairinfiltrationprocess
AT jerzypiotrowski neuralmodelofresidentialbuildingairinfiltrationprocess
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