Using Neural Networks for remote OS Identification Adaptive learning rate  Strategy to speed up training convergence  Calculate the cuadratic error estimation ( y i are the expected outputs, v i are the actual outputs):  Between generations (after processing all dataset input/output pairs) –if error is smaller then increase learning rate –if error is bigger then decrease learning rate  Idea: move faster if we are in the correct direction
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