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Summary form only given, as follows. A new supervised learning algorithm which does not require any gradient computation is presented. In the new gradient-free (G-F) algorithm, the error between the actual output and the desired output is not measured by the least-squared norm as in the backpropagation algorithm, but by the up-norm. In the G-F algorithm,(More)
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