Effect of Lower Body Negative Pressure on the Heart Rate Variability

Controlling information capacity of binary neural network

“…Shannon information entropy (H) is defined as an expected amount of information in a random variable [38], and is widely used, together with its successors, as a measure of information value in differ-ent fields, including chemistry, medicine [9,21,24], robotics and machine learning. In deep belief networks, the maximum entropy learning algorithm provides better generalization capability than the maximum likelihood learning approach, ensuring a less biased distribution and robust to over-fitting predictive model [23].…”