Improving the efficiency of MLP back propogation learning at the classification of quasi-stationary signals

摘要

Investigated efficiency improvement for the back propagation learning in batch mode of MLP at the classification of quasi-stationary signals relied on tuning the learning rate based on gradient descent algorithm and the slope angle of the neurons activation function.