Implementation of Bidirectional Associative Memory Neural network for Character Recognition

In Pattern recognition we can identify the symbol, character, image and any signal. Pattern recognition is one of the applications of neural network. Neural network are mainly work for finding patterns of images, brain etc. Many algorithms are working on that but Bidirectional associative memory has limited storage pattern, limited noise. So for small pattern we can use this algorithm easily. In this paper we used two patterns ‘E’ & ‘F’ and try to find the pattern based on the target changed.