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- W2013613989 abstract "Neural networks have been applied to many interesting problems in different areas including noise identification/recognition. With this study, we studied noise classification using artificial neural networks (ANN). Three commonly encountered non-stationary noise sources are chosen to recognize. These are highway, subway and airport. Time-domain based feature parameters are used. While one-phase ANN classifier achieving 54% accuracy, two-phase ANN classifier achieved 83-89% accuracy rates." @default.
- W2013613989 created "2016-06-24" @default.
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- W2013613989 date "2010-01-01" @default.
- W2013613989 modified "2023-09-23" @default.
- W2013613989 title "Environmental Noise Source Classification Using Neural Networks" @default.
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- W2013613989 doi "https://doi.org/10.1109/itng.2010.118" @default.
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