Predicting the subjective loudness of floor impact noise in apartment building using neural network analysis

Neural Network Analysis를 이용한 공동주택 바닥충격음의 주관적 라우드니스 예측

In this research, the relationship between physical measurements and subjective evaluations of floor impact noise in apartment building was quantified by applying the neural network analysis due to its complex and nonlinear characteristics. The neural network analysis was undertaken by setting up L-value, inverse A index, Zwicker parameters and ACF/IACF factors, as input data, which came from the measurements at real suites of apartment building having various sound insulations. (omitted)