Artificial neural network models as a useful tool to forecast human thermal comfort using microclimatic and bioclimatic data in the great Athens area
Main Authors: | Μούστρης, Κωνσταντίνος Π., Τσίρος, Ι., Τζιόμας, Ι. Σ., Παλιάτσος, Αθανἀσιος Γ. |
---|---|
Format: | Article |
Language: | English |
Published: |
2010
|
Online Access: | http://cris.lib2.uniwa.gr/jspui/handle/123456789/573 |
Similar Items
-
Forecast of rain intensity in Athens, using artificial neural networks
by: Νάστος, Παναγιώτης, et al.
Published: (2010) -
Rain intensity forecast using artificial neural networks in Athens, Greece
by: Νάστος, Παναγιώτης, et al.
Published: (2013) -
Rain intensity forecast using artificial neural networks in Athens, Greece
by: Νάστος, Παναγιώτης, et al.
Published: (2010) -
Use of artificial neural networks for the forecast of thermal comfort-discomfort for three Consecutive days during the hot period of the year at representative locations in the wider region of Athens, Greece
by: Μούστρης, Κωνσταντίνος Π., et al.
Published: (2010) -
Forecasting the discomfort levels within the greater Athens area, Greece using artificial neural networks and multiple criteria analysis
by: Βουτεράκος, Π. Α., et al.
Published: (2012)