Use of back-propagation neural networks to predict both level and temporal-spectral composition of sound pressure in urban sound environments

Article ID	Journal	Published Year	Pages	File Type
6701625	Building and Environment	2012	12 Pages	PDF

Abstract

âº A model is developed to predict the level and temporal-spectral composition of sound pressure. âº This ANN-based model affords high accuracy and precision. âº The proposed ANN proves much more effective than the use of MLR. âº This model may prove useful in achieving an integration of acoustical variables in town planning.

Keywords

Spectral composition Multiple linear regression artificial neural networks Soundscapes Prediction model

Related Topics

Physical Sciences and Engineering Energy Renewable Energy, Sustainability and the Environment

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Use of back-propagation neural networks to predict both level and temporal-spectral composition of sound pressure in urban sound environments

Authors

Antonio J. Torija, Diego P. Ruiz, A.F. Ramos-Ridao,