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This model is implemented using rules within interacting neural networks.
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The evolution logic is implemented using the Rule and EvolutionVisitor objects.
For example, the module for the criterion Persistence was mainly implemented using non-monotonic scoring rules [48].
These rules were implemented using in-house Perl scripts.
Imputation was performed using ' mi impute regress' for a normally distributed outcome and ' mi impute logit' for a binary outcome, and Rubin's rules were implemented using ' mi estimate' in Stata version 12.1 [ 11].
Plastic excitatory connections between the modules are implemented using an STDP type learning rule for sequential storage.
The gain-scheduling controller is obtained by the interpolation of zeros, poles and gains, where the smooth deterministic transtion rule is implemented using the TS fuzzy model.
Each screening rule was implemented using S-Plus version 7.0.3 for Microsoft Windows (2005), and was applied to the longitudinal data of children.
Even non-monotonic social choice rules can be implemented using Nash equilibrium refinements.
These rules can be implemented using a gradient descent algorithm with an appropriate choice of the step size and are estimated for each scalar parameter Z by expressing the partial derivatives of the objective function ∂D ∂Z as the division between two positive terms ∂D ∂Z − and ∂D ∂Z + : Z = Z ⊙ ∂D ∂Z − ∂D ∂Z + (10).
These rules can be implemented using tabular methods or languages with recursive function support.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com