Time Series Smoothing Improving Forecasting
Both statistical and neural network methods may fail in forecasting time series even operating on a great amount of data. It is an open question of which amount fits best to make sufficiently accurate forecasts on it. This implies that the length or time series might be optimised. Hence, the objecti...
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| Format: | Article |
| Language: | English |
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Sciendo
2021-05-01
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| Series: | Applied Computer Systems |
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| Online Access: | https://doi.org/10.2478/acss-2021-0008 |
