Improved BP algorithm based on dynamically adjusting learning rate
动态调整学习速率的BP改进算法

The learning rate is usually invariable in basic Back Propagation(BP) algorithm,thus the constringency rate and stabilization of network are constrained.Therefore,a BP algorithm based on dynamically adjusting learning rate was proposed.The average absolute error between actual output value of the output layer node and the expected output value and its change ratio were regarded as independent variables,then the function relation of learning rate and two independent variables was found.According to the actua...