Comparing of neural network training algorithms

Artificial Neural Network has been applied in many fields.The network training is an essential process in applications of Neural Network.BP algorithm is one of common training algorithms of Artificial Neural Network.Genetic algorithm is a new,random and global optimization method.In this paper BP algorithm and genetic algorithm are compared to find out their advantages and disadvantages in optimization training of Artificial Neural Network.