Artificial neural networks and naturally ventilated buildings

Kindangen, J I (1996) Artificial neural networks and naturally ventilated buildings. Building Research & Information, 24(4), pp. 203-208. ISSN 0961-3218

Abstract

A method of predicting window size and location with subsequent effect on interior air motion using neural networks. 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.

Item Type: Article
Uncontrolled Keywords: artificial neural networks; interior air motion; naturally ventilated buildings; opening configuration effects; tropical humid climate
Date Deposited: 11 Apr 2025 14:06
Last Modified: 11 Apr 2025 14:06