Welcome to Open Science
Contact Us
Home Books Journals Submission Open Science Join Us News
Analysis Using ANN of Thermal Inertia in the Sahara Habitats: The Case of Architectural Styles in the Region of Adrar (Algeria)
Current Issue
Volume 1, 2014
Issue 4 (September)
Pages: 69-72   |   Vol. 1, No. 4, September 2014   |   Follow on         
Paper in PDF Downloads: 13   Since Aug. 28, 2015 Views: 1586   Since Aug. 28, 2015
Bouharati Saddek, Laboratory of Intelligent Systems, Faculty of Technology, UFAS Setif1 University, Algeria; Faculty of Natural Sciences and Life, UFAS Setif1 University, Algeria.
Braham-Chaouch Wafa, Research Unit renewable Saharan Environments (URER. MS), Adrar, Algeria.
Benzidane Chahra, Faculty of Natural Sciences and Life, UFAS Setif1 University, Algeria.
Boumaïza Souad, Faculty of Natural Sciences and Life, UFAS Setif1 University, Algeria.
Architecture Saharan thermal inertia is a key element of environmental management. Whatever the desired inertia, materials need to be adapted for this purpose. It depends on the chosen comfort; absorption of inertia makes use of dense materials with high thermal capacity (land, brick tablet). The inertia of the transmission, in turn, requires a material with absorption and rapid return of heat. The nature of the material used to absorb or diffuse the heat, thickness walls; architectural geometries have a very complex role. In this study, we propose a model for analyzing these variables through the techniques of artificial intelligence such as artificial neural networks.
Air Pollution, Air Quality, Artificial Intelligence, Fuzzy Logic
Guerrout. Ch. (2007). L’ancien hôpital de la ville d’Adrar, Revue En-Nakhla, n°3, p.22-26.
Godard. C. (1954). L’oasis moderne, Essai d’urbanisme saharien, La maison des livres, Alger.
Lequellec J-L.. (2006). Maisons du Sahara : Habiter le désert, éditions Hazan.
Bouharati S., Benamrani H., Alleg F., Benzidane C., Bounechada M. (2013). Artificial Neural Networks In Prevention Of Nosocomials Infections. International journal of scientific & technology research volume 2, issue 10, october 2013.
C. William, MD. Hanson III, Bryan E., Marshall, MD, FRCP, FRCA. (2000). “Artificial intelligence applications in the intensive care unit”. Crit Care Med Vol. 29, No. 2.
Ajith A. (2001). “Neuro Fuzzy Systems: state of Art Modelling Techniques”, In proceedings of the sixth international work conference on Artificial and Natural Neural Networks, IWANN, Granada, Springer Verlag Germany, pp.269-276.
Ajith A. (2005).“Adaptation of Fuzzy Inference System Using Neural Learning”, Computer Science Department, Oklahoma State University, USA, springer verlag berlin Heidelberg.
Nikam S.R., Nikumbh P.J., Kulkarni S.P. (2012).“Fuzzy Logic And Neuro-Fuzzy Modeling”. MPGI National Multi Conference (MPGINMC2012) 7-8.
Chen D.G., Haregreaves N.B., Ware D.M., and Liu Y. (2000). “A Fuzzy logic model with genetic algorithm for analyzing fish stock-recruitment relationships”. Can J. Fish. Aquat. Sci., 57:1878-1887.
Open Science Scholarly Journals
Open Science is a peer-reviewed platform, the journals of which cover a wide range of academic disciplines and serve the world's research and scholarly communities. Upon acceptance, Open Science Journals will be immediately and permanently free for everyone to read and download.
Office Address:
228 Park Ave., S#45956, New York, NY 10003
Phone: +(001)(347)535 0661
Copyright © 2013-, Open Science Publishers - All Rights Reserved