Adaptive modified backpropagation algorithm based on differential errors
International Journal of Computer Science, Engineering and Applications (IJCSEA), 01 (05):
21-34 (October 2011)DOI: 10.5121/ijcsea.2011.1503
Abstract
A new efficient modified back propagation algorithm with adaptive learning rate is proposed to increase the convergence speed and to minimize the error. The method eliminates initial fixing of learning rate through trial and error and replaces by adaptive learning rate. In each iteration, adaptive learning rate for output and hidden layer are determined by calculating differential linear and nonlinear errors of output layer and hidden layer separately. In this method, each layer has different learning rate in each iteration. The performance of the proposed algorithm is verified by the simulation results.