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Efficiently estimating and predicting of oil viscosity in different operating conditions is vital.
Thus, there is great interest in characterizing, estimating, and predicting relationships between mass-flux reduction and mass removal.
In the last decade, ANN modeling has been successfully applied for estimating and predicting biosorption properties that are function of many variables and parameters.
The interpolation method, the tectonic block model, and traditional coordinate transformation were used to analyze the accuracy in estimating and predicting the coordinate changes at arbitrary sites.
In the last decade, ANN modeling has been successfully applied for estimating and predicting adsorption properties that are function of many variables and parameters.
The purpose of this paper is to provide a horizontal velocity model based on 265 GPS observations for estimating and predicting the coordinate changes associated with the horizontal crustal motion in SW Taiwan (Fig. 1).
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Simple theoretical models are developed to estimate and predict these parameters.
The identified process parameters can then be used in future to estimate and predict quality.
This study aims to estimate and predict the suspended sediment load in rivers by a combined wavelet ANN method.
Therefore, a large variety of specialised tools is used in order to estimate and predict the required data.
Therefore, models can be ranked according to their data fit and all single factors and interactions can be estimated and predicted by model averaging.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com