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C++ project for a basic artificial neural network.
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mark-ross/ann
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This project is for a rudimentary ANN. Listed below are the flags and their usages: -f <FILE_NAME> --Specify the name of the folder containing the files -b --Set the system to backpropagate ****************************************************** The following flags should be used with the -b flag ** ****************************************************** -t <FLOATING_NUMBER> --Specify the error threshold before the system stops correcting -v <INTEGER_NUMBER> --Specify the number of generations run before printing system error -g <INTEGER_NUMBER> --Specify the number of generations to run correction --alpha <FLOAT_NUMBER> --Specify the rate of growth of the output to hidden weights --beta <FLOAT_NUMBER> --Specify the rate of growth in the hidden to input weights
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C++ project for a basic artificial neural network.
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