Prediction of Sound Insulation Using Artificial Neural Networks—Part I: Lightweight Wooden Floor Structures

The artificial neural networks approach is applied to estimate the acoustic performance for airborne and impact sound insulation curves of different lightweight wooden floors. The prediction model is developed based on 252 standardized laboratory measurement curves in one-third octave bands (50–5000...

詳細記述

書誌詳細

主要な著者:	Mohamad Bader Eddin, Sylvain Ménard, Delphine Bard Hagberg, Jean-Luc Kouyoumji, Nikolaos-Georgios Vardaxis
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2022-03-01
シリーズ:	Acoustics
主題:	airborne sound impact sound insulation prediction model artificial neural networks
オンライン･アクセス:	https://www.mdpi.com/2624-599X/4/1/13
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