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Developing the Hybrid Forecasting Model on the Short-Term Time Series
2020
ICIC Express Letters
The problem of time series data forecast has many practical benefits, thus getting more and more attention from many people. Doing forecast on short-term time series is a practical problem today. There are two commonly used methods: the exponential smoothing and artificial neuron network (ANN). However, many studies show that for trend and seasonal data, the quality of the ANN is not high. Similarly, for non-linear data, the quality of the exponential smoothing is not good. In this paper, we
doi:10.24507/icicel.14.10.1017
fatcat:sywaazclhvgrjfeb4zbvosfk7u