A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
The prediction of airborne and impact sound transmission through floor-ceiling constructions using neural network analysis
Linear regression analyses of laboratory test results have been used to produce expressions for sound and impact transmission through floors. Neural network analysis (NNA) offers an alternative method of predicting the sound transmission class (STC) and impact insulation class (IIC) of typical floor-ceiling constructions. In the present work the prediction of STC and IIC values, using well-designed neural networks, is compared with values attained using multivariate regression analysis. Neural network analysis exhibits better accuracy, more flexibility and more comprehensive coverage of floor-ceiling construction parameters than the multivariate regression analysis. Also, through the neural network analysis, the importance of floor-ceiling system mass, joist depth and spacing, resilient metal channel spacing, and the thickness and density of the sound insulation materials to STC and IIC of typical floor-ceiling constructions is investigated.
The prediction of airborne and impact sound transmission through floor-ceiling constructions using neural network analysis
Linear regression analyses of laboratory test results have been used to produce expressions for sound and impact transmission through floors. Neural network analysis (NNA) offers an alternative method of predicting the sound transmission class (STC) and impact insulation class (IIC) of typical floor-ceiling constructions. In the present work the prediction of STC and IIC values, using well-designed neural networks, is compared with values attained using multivariate regression analysis. Neural network analysis exhibits better accuracy, more flexibility and more comprehensive coverage of floor-ceiling construction parameters than the multivariate regression analysis. Also, through the neural network analysis, the importance of floor-ceiling system mass, joist depth and spacing, resilient metal channel spacing, and the thickness and density of the sound insulation materials to STC and IIC of typical floor-ceiling constructions is investigated.
The prediction of airborne and impact sound transmission through floor-ceiling constructions using neural network analysis
Xu, Jingfeng (author) / Fricke, Fergus R. (author)
2003
8 Seiten, 17 Quellen
Conference paper
English
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