The use of neural network analysis to predict the acoustic performance of large rooms Part I. Predictions of the parameter G utilizing Numerical simulations

摘要

A method of predicting the G values (the strength factor in dB) in large enclosures, using artificial neural networks, has been investigated. ODEON 3.1 was used to determine the acoustical attributes (including G values) for 110 unoccupied 'shoebox' enclosures. One source position and a combination of receiver positions were chosen, and the acoustical quantities were calculated for the 125, 250, 500, 1000 and 2000 Hz octave bands.