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Properly designed shrinkage models can improve forecast accuracies from a model that uses irrelevant information.
This model is applied to forecast the 1-month ahead streamflow of three stations in China, and the results show that the AEEMD-ANN model can improve forecast accuracy in flood seasons, but it is not as good as ANN, adaptive neuro-fuzzy inference system (ANFIS), support vector machine (SVM) and seasonal first-order autoregressive (SAR (1)) models in dry seasons.
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The latent news in these characteristics which can improve forecasting performance remains to be further explored.
There is widespread belief that the utilization of Big Data can improve forecasting results if its underlying patterns can be analyzed [8].
We will see soon, somewhat counter-intuitively, that separating predictors from what they are supposed to measure can improve forecasting accuracy enormously.
This is the reason why we propose a method that is precisely based on some knowledge that governs bankruptcy, using the concept of "financial profiles", and we show how the complementarity between this technique and ensemble techniques can improve forecasts.
It was noted that the persistence of subsurface droughts is in general higher than surface droughts, which can potentially improve forecast accuracy.
"If they join with us now," he said, "they stand a better chance of getting the contract because we can vastly improve forecasting for the same price or less.
The proposed ADE BPNN can effectively improve forecasting accuracy relative to basic BPNN, autoregressive integrated moving average model (ARIMA), and other hybrid models.
The experimental results obtained using the Synthetic Control Chart Time Series and aluminum price datasets show that the proposed method can significantly improve forecasting accuracy, and thus is considered an appropriate procedure to forecast manufacturing outputs based on small samples.
This procedure can improve the forecast accuracy.
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