Estimation of sound absorption coefficient of layered fibrous material using artificial neural networks

Tuning sound absorbing properties of open cell polyurethane foam by impregnating graphene oxide

(2019) Jaehyuk Lee et al.   APPLIED ACOUSTICS

Deep convolutional neural networks for estimating porous material parameters with ultrasound tomography

(2018) Timo Lähivaara et al.   JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA

Application of global sensitivity analysis to statistical energy analysis: Vehicle model development and transmission path contribution

(2018) Hyeong Rae Lee et al.   APPLIED ACOUSTICS

Prediction on sound insulation properties of ultrafine glass wool mats with artificial neural networks

(2018) Fei Wang et al.   APPLIED ACOUSTICS

Deep learning

(2015) Yann LeCun et al.   NATURE

Wooden windows: Sound insulation evaluation by means of artificial neural networks

(2013) Cinzia Buratti et al.   APPLIED ACOUSTICS

Sound absorption of porous materials – Accuracy of prediction methods

(2013) David Oliva et al.   APPLIED ACOUSTICS

Application of artificial neural network to predict thermal transmittance of wooden windows

(2012) Cinzia Buratti et al.   APPLIED ENERGY

Sound absorption and viscoelastic property of acoustical automotive nonwovens and their plasma treatment

(2010) Youngjoo Na et al.   FIBERS AND POLYMERS

Estimating the sound absorption coefficients of perforated wooden panels by using artificial neural networks

(2008) Min-Der Lin et al.   APPLIED ACOUSTICS