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Timothy Williamson (1994) traces the ignorance of the threshold for childhood to "margin for error" principles.
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Today the design of the tooth profile is, however, predominantly feasible by the expertise and "trial and error" principle.
How this approach differs from the most common approaches to RPD is that it derives the mean and variance equations using the propagation of error principle (POE).
(Another definition, if knowledge obeys a margin for error principle, would be: a system exhibits apparent dependence on initial conditions if, for all we know, it is sensitively dependent on initial conditions).
Based on this model, the variation of the electrostatic force gradient with distance can be assumed to be in the form [12]: frac{partial F}{partial z}=a+frac{b}{z+c} (3)where a, b, and c are undetermined constants that can be obtained by fitting the experimental data according to the minimum error principle.
This paper analyzes the effect of the mean-square error principle on the optimization process using a Special Case of Hopfield Neural Network (SCHNN).
While the margin-for-error principle discussed in Williamson (1994) might serve to explain how we could be ignorant of the postulated sharp boundaries were they to exist, it might be thought that since our use of vague terms does not draw sharp boundaries they could not possess them given the generally accepted connection between meaning and use.
Open image in new window Fig. 6 Machining error compensation principles.
As well as an understanding of uncertainty, error and principles of audit on radiology and nuclear medicine, trainees should also remain cognizant of the possible medico-legal implications of the interpretations they make.
A machining error compensation principle is shown in Fig. 6.
The total error minimization principle is applied to obtain cutoff value.
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