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Among the various ANN structures, model of good performance was produced by a four-layer ANN structure, 4-10-4-1, witransferbolic tangent transfunctiontion.
In all of these behaviors, the motor actions are shaped during learning by an internal model of good performance (Wolpert et al., 1995).
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Its result indicated that at moving window 3 × 3, there was minimum similarity of 0.1 and with moving window 11 × 11, and there was minimum similarity of 0.3 and maximum similarity of 0.8 which is indication of good performance of model simulation capacity (Fig. 4).
The predictive power of the model suggests good performance of the spatial correlation approximated from a subset of observed location.
Internal validation of this model indicates good performance at the 2% seroprevalence threshold (AUC = 0.81) and very good performance at 5% and 40% thresholds (AUC = 0.91 for both).
The results from this independent and external validation of QCancer (Colorectal) prediction model demonstrated good performance data on a large cohort of general practice patients.
Despite the difficulty of fitting individual component equations, the developed growth model shows good performance across a range of stand conditions.
In addition, as shown in Figure 6, this proposed model yields good performance in terms of precision, recall, and accuracy.
Experimental tests and numerical analyses using a trapezoidal cohesive mixed-mode damage model demonstrated the good performance of the new method, namely when compared to classical data reduction schemes.
According to the data presented in Figs. 5, 6 and also in Table 3, ACE model has a good performance in terms of predicting the amount of asphaltene precipitation.
Automation of this process is desirable but development of reliable predictive models with good performance to support this task in operational basis presents many difficulties.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com