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As for the problem of too long training time of convolution neural network (CNN), this paper proposes a fast training method for CNN in SAR automatic target recognition (ATR). The CNN is divided into two parts: one that contains all the convolution layers and sub-sampling layers is considered as convolutional auto-encoder (CAE) for unsupervised training to extract high-level features; the other that...
Brain-computer interface (BCI) uses brain activity for communication and control of objects in their environment without the participation of peripheral nerves and muscles. BCI technology can help improve the quality of life and restore functions for people with severe motor disabilities. We used combinations of wavelet entropy (WE) and band powers (BP) for feature extraction in BCI system which was...
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