Application of Neural Network on Acoustic Signal Identification

Abstract:

The application based on Backpropagation (BP) Algorithm network is conducted on identifying the categories and numbers of mechanical equipments by acoustic signal in battlefield targets. Collected signal was pre-processed and extracted the power spectrum feature of acoustic signal as input vectors of neural networks, then classified by neural networks and pattern recognition theorem. We employ the acoustic signals of six kinds of normal equipments as training samples to train the network. The experiment shows that the ratio of recognition of the acoustic signal processing system based on neural networks proposed is better than the conventional methods.

• Periodical: Applied Mechanics and Materials (Volume 151)
• Pages: 523-526
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.151.523
• Online since: January 2012
• Authors: Li Xia Zhang, Fu Zhou Feng, Peng Cheng Jiang, Xu Chang Wang
• Keywords: Acoustic Signal, Mechanical Equipment, Neutral Networks

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