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 |
| Index terms: | humid climate, implementation, configuration, window, variation, artificial neural network, database, neural network |
| Subjects: | contractual condition, architectural elements, systems engineering, data management, climate science, artificial intelligence, contractual arrangements, modelling and simulation |
| Topics: | Procurement, Sustainability, Research Practice, Engineering Principles, Contract Administration, Design Practice, Digital Applications |
| Descriptive scope: | 2 PC |
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