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MA and TWA were measured by enhanced modified moving average method.
The new model combines two well-known methods: the seasonal auto-regressive integrated moving average method (SARIMA) and the support vector machines method (SVMs).
Data analysis applying a moving average method to the TEIS statistics is used to reflect the effects of antecedent flow conditions on fish diversity.
This paper contributes to extending research on the weather-ridership relationship around the world especially to refining and extending the nine-term moving average method in this field.
In this paper, a new framework is proposed to first estimate future independent factors using SARIMA (seasonal auto-regressive iterative moving average) method and NARANN (nonlinear autoregressive artificial neural network) method, both of which are called a "forecasted scenario approach".
For the existing of substantial time delays between process variables and quality variable, the weighted moving average method is applied to make each variable be in same time slice.
Similar(13)
Thus, moving average methods were applied to remove short-term motion artifacts and to correct such fluctuations in the analyzed data (moving average window: 5 sec).
Moving average methods were used to exclude short-term motion artifacts in the analyzed data (moving average window, 5 s).
We used moving average methods to exclude short-term motion artifacts in the analyzed data (moving average window, 5 s).
Moving average methods tend to be more robust than model-based methods when those model-based methods are based on simplistic (i.e., nonhierarchical) assumptions.
For example, BioSense [ 8] currently includes both moving average methods and a method involving fitting a model similar to Eq. (1).
More suggestions(15)
moving average error
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moving average process
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moving average smoothing
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moving average lag
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