Sentence examples for rules strength from inspiring English sources

Coordination influences may vary in strength depending on the actual context as studied for curve walking by Dürr (2005) and Dürr and Ebeling (2005), which, in Walknet, would be possible by modulating rules' strength using additional motivation units (as depicted in Fig.  4).

First, the rule strength is computed by combining the fuzzified inputs.

The cascade model employs the between-groups sum of squares (BSS) as a measure of rule strength to select these characteristic rules.

Once sequential patterns are generated, the algorithm uses rule strength parameters to filter out insignificant patterns, so that only important (significant) rules are reported.

The purpose of the fuzzy process is to find the index value which is corresponding to the maximum rule strength, and then, it will be outputted as the result.

New indices of fiscal rule strength are constructed and, using a dynamic panel econometric model for 27 EU countries over the period 1990 2012, we assess whether national fiscal rules alone help to promote sustainable public finances in the EU or whether they must be supported by good governance in order to be effective.

The rules are characterized by various parameters, such as examples (i.e., number of objects covering a given rule), strength (i.e., the proportion of objects covered by premise that are also covered by conclusion), or confirmation (i.e., measure that is quantifying the degree to which premise provides evidence for conclusion).

The negative logarithm of the p-value of a rule at a given time point reflects the regulation strength of the rule at that time.

Layer-3 (Average nodes): The ith node of this layer calculates the ratio of the ith rules firing strength to the sum of all rules' firing strengths.

The column capacities generated from test and finite element study are compared with the existing design code – EN 1993 1 1 (EN 1993-1-1, 2005) [1] and design rules – continuous strength method (CSM) (Zhao et al., 2017) [2] and direct strength method (DSM) (North American Specifification for the Design of Cold-Formed Steel StructurArrayagors, 2016; Arrayago et al., 2017) [3,4].

Via fuzzy logic rules, the strength of controllers in our new approach can be adjusted according to the error derivatives.