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A correlation recurrent unit and a correlation recurrent neural network are provided. An aspect provides a new neural network structure for training each decomposed time-series component by decomposing input time-series data x t into a plurality of time-series components (eg, trend, seasonal, and remainder components) and improving the prediction performance of time-series data by training a relation between different time-series components.