… neural network fields are summarized. And we sum up other methods to improve the training
performance of neural network… Bayesian approximation: Representing model uncertainty in …

… convolutional neural networks, and briefly introduce MP neuron model, Hubel-Wiesel model…
such as the L2 regularization, Dropout, Dropconnect and Maxout, several frequently-used …

… learning speed of functional neural network is much improved. In order to verify the effectiveness
… Compensation of automatic weighing error of belt weigher based on BP neural network[…

… His research interest covers deep learning, image recogition, big data, swarm intelligence, …
Table 6 Average PSNR (dB) and SSIM results of traditional and deep learning methods on …