This paper deals with the schematic design of large rooms (concert halls) using artificial neural networks. Previously published research has shown that neural networks can be used to predict the acoustical attributes (G, C_80, LF and RT_60) of concert halls. Neural network analyses have been undertaken, and the changes in neural network predictions of the para- meter strength factor, G, according to the variations of concert hall design variables, has been investigated.
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