Sentence examples for Fine-tune the parameter from inspiring English sources

Different to fixing ϵ in the former two cases, ϵ-decreasing strategy requires a user to fine-tune the parameter c, which controls the decreasing rate of ϵ, to achieve approximate optimal solution.

Due to the nature of SAX, our algorithm has the ability to fine-tune the parameter setting which governs how the driving patterns and episodes are to be approximated.

A set of computational experiments is reported to not only allow to fine-tune the parameters of the algorithm but also to evaluate its performance for solving the problem proposed.

The future work is to fine-tune the parameters of GAO and PSO.

Therefore, the main idea of this work is to highlight the importance of using optimization algorithms to fine-tune the parameters for OF-based techniques.

The dependence of the composition and growth rate on the electrodeposition potential was determined by SEM and EDS studies of homogenous Co-Ni alloy nanowire arrays grown at several deposition potentials in order to fine-tune the parameters of the pulse sequence further employed for the fabrication of multisegmented Co54Ni46/Co85Ni15 nanowire arrays.

Nevertheless, they allow more advanced users to fine-tune the parameters available to a given operation.

Given the added complexity of the optimization step, it is followed by refinement and reduction steps that fine-tune the parameters of the transfer functions and reduce the complexity of the model topology (see [ 35]).

Rather, data need to be examined regularly using approaches similar to those above (perhaps with the consultation of a statistician) to fine-tune the parameters in the statistical detection algorithms to the data upon which they are being applied.

Bayesian inference and an efficient dynamic programming algorithm were also being used to fine-tune the parameters including standard deviation, digestion rate, false cut, and false match probability etc. [ 54, 58, 59].

To this end, a methodology based on model simulations is used that employs three statistical methods: (i) Monte-Carlo procedure: to find proper initial conditions, (ii) Identifiability analysis: to find an identifiable parameter subset of the fuzzy controller and (iii) minimization algorithm: to fine-tune the identifiable parameter subset of the controller.