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Therefore, this research establishes a quality predictor for analyzing the relationship between manufacturing process parameter setting and final product quality in the plasma-enhanced chemical vapor deposition (PECVD) of semiconductor manufacturing by applying the back-propagation neural network (BPNN) algorithm and Taguchi method.
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An even more important finding in this study is that respect for diversity was the most powerful single quality predictor for early learning experiences and later for achievement in school.
The final quality predictor score for a residue is calculated as a weighted mean of its own value and the values associated to surrounding residues: (6) s i = ∑ j w j s j with s i representing the final score at position i, w j the weight of score at position j and s j the score at position j.
A self-organizing map plus a back-propagation neural network (SOM-BPNN) model is proposed for creating a dynamic quality predictor.
Gelatinization temperature (GT) is an important quality predictor that determines the cooking quality of rice.
Based on this theoretical approach, we expect that functional quality is a better predictor for capturing overall consumer satisfaction, whereas technical quality is better for measuring satisfaction when referring to a specific transaction (i.e., consumer complaint satisfaction).
Before proceeding with multivariate analysis, we checked the bivariate Kendall's tau b correlation among the service quality predictors to screen for observable multicollinearity.
Additionally, a relatively new study [ 25] has found that stress-related coping was a significant predictor for quality of life among children with asthma.
Because more tangible support might have been offered to people with medical diseases [ 65], the importance and satisfaction of social support felt by the individual (instead of the amount of support that an individual receives) is usually recommended by researchers as a better predictor for quality of life [ 66] and for assessing the need for social support intervention [ 59, 67, 68].
As microarray technology facilitates simultaneous analysis of thousands of genes, a larger panel of genes most likely yields a more robust predictor for quality control purposes.
Some previous long-term synoptic air quality studies investigating nonlinearities and threshold effects between air quality and mortality have found no justification for nonlinear functional forms for air quality predictors [ 33].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com