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Meanwhile, the proposed Apriori algorithm generated the minimal number of rules in five cases.
The design of iGEC has three objectives to be simultaneously optimized: maximal classification accuracy, minimal number of rules, and minimal number of used genes.
Optimization of the "entropy" of a fuzzy rule base leads to a minimal number of rules, of membership functions and of subpremises together with an optimal input/output (I/O) behavior.
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Both the MODLEM and VC-DomLEM algorithms generate a minimal set of decision rules using a minimal number of rule conditions, thus the inclusion of MODLEM allows for an evaluation of the impact of accounting for the preference order information in the VC-DRSA.
A modified hybrid fuzzy controller is constructed by the automatic generation of membership functions (MFs) and formed a minimal numbers of rules using hybrid fuzzy clustering algorithm (Combination of Fuzzy C-means and Subtractive clustering algorithm) and the modified apriori algorithm, respectively.
The AFP model for skin sensitisation was built on the training set by using the following parameters: maximal number of rules for each chemical activity = 30; minimal number of compounds for a given rule = 2; maximal number of cuts for each axis = 5.
Rules were set for the minimal number of studies required for each level of the moderator variables.
Since we have found 19 different working solutions for all the cases we have left, we have proved that the minimal number of bonds one can change is 4 and the 19 rules described in Fig. 3 generate all these minimal transformations.
The minimal number of bonds one can change is 4 and the 19 rules described in Fig. 3 generate all minimal transformations respecting the following constraints: the maximal valence is 4 and there cannot be two double bonds on the same atom in a 3 or 4 membered ring.
The difficulty in measuring all the components of a given pathway results in following simple rules of thumb based on the minimal number of elements sufficient for a pathway to be considered as present.
The application of geNorm with default limit (M < 1.5) ruled out unstable reference genes and left minimal number of suitable reference genes for each group in the end.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com