Weibo Yang1, Weidong Liu2, *, Jinming Liu3, Mingyang Zhang4
CMC-Computers, Materials & Continua, Vol.64, No.1, pp. 515-525, 2020, DOI:10.32604/cmc.2020.09801
- 20 May 2020
Abstract The Convolutional Neural Network (CNN) is a widely used deep neural network.
Compared with the shallow neural network, the CNN network has better performance and
faster computing in some image recognition tasks. It can effectively avoid the problem that
network training falls into local extremes. At present, CNN has been applied in many
different fields, including fault diagnosis, and it has improved the level and efficiency of
fault diagnosis. In this paper, a two-streams convolutional neural network (TCNN) model is
proposed. Based on the short-time Fourier transform (STFT) spectral and Mel Frequency
Cepstrum Coefficient (MFCC) More >
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