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Artificial neural networks and naturally ventilated buildings
The author found that the results obtained were reliable and indicates that neural networks can be used as a predictor for investigating window opening configurations to study the effects on interior air motion. Further study is needed in the development of the database to cover wider architectural parameters and the implementation of new types of network is also needed, as well as the need to consider variation spatial coefficients more fully.
Artificial neural networks and naturally ventilated buildings
The author found that the results obtained were reliable and indicates that neural networks can be used as a predictor for investigating window opening configurations to study the effects on interior air motion. Further study is needed in the development of the database to cover wider architectural parameters and the implementation of new types of network is also needed, as well as the need to consider variation spatial coefficients more fully.
Artificial neural networks and naturally ventilated buildings
Kindangen, Jefrey Ignatius (Autor:in)
Building Research & Information ; 24 ; 203-208
01.07.1996
6 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Artificial neural networks and naturally ventilated buildings
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