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In this paper a new multi-resolution approach for time series forecasting based on a composition of three different types of neural networks is introduced and developed. A comparison between this method and 3 ordinary neural network based forecasting methods is obtained experimentally.

A MULTI RESOLUTION FORECASTING METHOD FOR SHORT LENGTH TIME SERIES DATA USING NEURAL NETWORKS