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In this report I shall use BPS (Back Error Propagation Simulator), this program stimulates a multi layer neural network using back error propagation as a learning algorithm. I will use BPS to create two multi-layer perceptron networks,
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Introduction In this report I shall use BPS (Back Error Propagation Simulator), this program stimulates a multi layer neural network using back error propagation as a learning algorithm. I will use BPS to create two multi-layer perceptron networks, which once completed and trained shall attempt to recognise five characters formed on a 5 x 5 pixel grid. The first network will consist of two layers (an input layer and an output layer). The second network will consist of three layers (an input layer, a hidden layer and an output layer). I will train and test both of these networks, in order to test the two significantly I will add noise to each of the five characters and record the output given from both networks and compare and contrast the two. 1. Representation of the digits and letters The following letters and digits were chosen to represent the input data: J, G, B, 1 and...
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