Artificial neural networks in energy applications in buildings
Journal
International Journal of Low Carbon Technologies
Date Issued
July 2006
Author(s)
DOI
10.1093/ijlct/1.3.201
Abstract
Artificial neural networks (ANNs) are nowadays accepted as an alternative technology offering a way to tackle complex and ill-defined problems. They are not programmed in the traditional way but they are trained using past history data representing the behaviour of a system. They have been used in a number of diverse applications. Results presented in this paper are testimony to the potential of artificial neural networks as a design tool in many areas of building services engineering.
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