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

Building and Environment

Volumn 43, Issue 6, 2008, Pages 1121-1126

  Sofuoglu, Sait C ^a  

^a IZMIR INSTITUTE OF TECHNOLOGY   (Turkey)

Author keywords

Artificial neural networks; Building related symptoms; Indoor air quality; Indoor environmental quality; Office buildings

Indexed keywords

BACKPROPAGATION ALGORITHMS; COMPUTER SIMULATION; ENVIRONMENTAL PROTECTION AGENCY; INDOOR AIR POLLUTION; LINEAR REGRESSION; NEURAL NETWORKS;

BUILDING-RELATED SYMPTOMS (BRS); INDOOR ENVIRONMENTAL QUALITY;

OFFICE BUILDINGS;

BACKPROPAGATION ALGORITHMS; COMPUTER SIMULATION; ENVIRONMENTAL PROTECTION AGENCY; INDOOR AIR POLLUTION; LINEAR REGRESSION; NEURAL NETWORKS; OFFICE BUILDINGS;

ARTIFICIAL NEURAL NETWORK; BUILDING; ENVIRONMENTAL PROTECTION;

NORTH AMERICA; UNITED STATES;

BOVINE RESPIRATORY SYNCYTIAL VIRUS;

EID: 38949194253     PISSN: 03601323     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.buildenv.2007.03.003     Document Type: Article

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