The esiest way to learn the backpropagation algorithm and theory.

Artificial neuarl network is one of the recent developed softcomputing technique work on the basis of human neural system. The traning and testing are the two important process in artificial neural network. ther are many techniques used for the train

The main contribution of this paper is using optimal control theory for improving the convergence rate of backpropagation algorithm. In the proposed approach, the learning algorithm of backpropagation is modeled as a minimum time control prob