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The counterpropagation network was obtained by combining Kohonen learning and Grossberg learning. By adding of dynamical elements in the Kohonen learning, we obtained a new network, the counterpropagation neural network with delays. This network is suitable to be applied for solving problems in the domain of temporal sequence processing. An application to a financial prediction problem, the forecasting of the currency exchange rate, is shown.