Alphabet Recognition Based on Scaled Conjugate Gradient BP Algorithm

Artificial neural network is a reflection of brain function to some degree. Neural network has adaptive and self-learning ability and gets features by learning from samples. It can also apply the knowledge which is obtained from learning to the recognition of images, text, and so on. To study alphabet recognition, the Scaled Conjugate gradient BP algorithm is used in this chapter. The simulation results show that, this method can effectively identify the English letters with noise. Compared with the standard BP algorithm, the improved BP algorithm can greatly reduce the training times of the network, and its speed of convergence is much faster.