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Application of artificial neural networks to predict prevalence of building-related symptoms in office buildings 

Sofuoğlu, Sait Cemil (Elsevier, 2008-06)
Artificial neural networks (ANN) were constructed to predict prevalence of building-related symptoms (BRS) of office building occupants. Six indoor air pollutants and four indoor comfort variables were used as input variables ...



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Author
Sofuoğlu, Sait Cemil (1)
Subject
Artificial neural networks (1)
Building-related symptoms (1)Environmental protection (1)Indoor air quality (1)
Indoor environmental quality (1)
Office buildings (1)... View MorePublication Typearticle (1)Languageeng (1)Publication Category
Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı (1)
Access Typeinfo:eu-repo/semantics/openAccess (1)Date Issued2008 (1)Full TextYes (1)

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