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All these improvements are nevertheless based on identification algorithms using edit-distance.
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Standard algorithms for association rule mining are based on identification of frequent itemsets.
Finally, we present results based on our identification algorithm for all benchmark problems.
Second algorithm is a designed parameter identification algorithm based on the genetic algorithm method.
It is implemented based on a fuzzy identification algorithm called "Limited Rules", employed to model continuous nonlinear processes.
A novel identification algorithm for circulant systems based on subspace identification is presented.
De Vleeschouwer et al. proposed in [20], a semi-fragile algorithm based on the identification of a robust feature of the luminance histogram for an image tile.
On this basis, path identification algorithm based on vision, steering control algorithm and speed control algorithm of intelligent track-searching vehicle are researched.
The parameters of the models identification procedure was based on the Genetic Algorithms which were coded in Maple®15 software.
In this work, we propose a new identification hybrid strategy based on genetic algorithm with parallel selection (GAPS) and artificial neural network (ANN).
Considering that the majority of consistently reported significant effects pertained to factors/antecedents that were relatively common in the general population, the identification of risk profiles based on algorithms combining multiple factors may increase predictive power for the purposes of targeted interventions [ 163].
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