Online Handwritten Character Recognition Using an Optical Backpropagation Neural Network

Walid A. Salameh, Mohammed A. Otair
2005 Issues in Informing Science and Information Technology  
There are many successful applications of Backpropagation (BP) for training multilayer neural networks. However, they have many shortcomings. Learning often takes insupportable time to converge, and it may fall into local minima at all. One of the possible remedies to escape from local minima is using a very small learning rate, but this will slow the learning process. The proposed algorithm is presented for the training of multilayer neural networks with very small learning rate, especially
more » ... n using large training set size. It can apply in a generic manner for any network size that uses a backpropgation algorithm through optical time. This paper studies the performance of the Optical Backpropagation algorithm OBP (Otair & Salameh, 2004a , 2004b . 2005 on training a neural network for online handwritten character recognition in comparison with backpropagation BP.
doi:10.28945/866 fatcat:zf4342yegfbqzfwbkt3hfdlody