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Recently, few stochastic gradient algorithms have been proposed and they are based on cost functions that have exponential dependence on the chosen error. However, we have experienced that the proposed cost function based on exponential of the squared error does not converge always. In this paper we modify this cost function in order to assure the convergence and a new IE (Improved Exponentiated)...
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