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Character Recognition With Neural Network

Komal Pruthi

Abstract


In this project artificial neural network has been called for its application as characters recognizing network. The network is made to learn as per the requirement by training them with some specific patterns that corresponds to the character. The number of input and output layer neurons is chosen. The training patterns and testing patterns are designed using matrices 0s and 1s. The weights in the network are adjusted using back propagation algorithm (delta rule) for training patterns and are checked for testing patterns. Then we train the network using those input patterns followed by testing the neural network with given training patterns.

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