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For classification performance, 12 datasets consisting of binary and non-binary features are empirically implemented in comparison with Support Vector Machines (SVM) using k-fold cross validation.
The averaged percentage reduction of quality loss (PRQL) of 3.31% was obtained as optimum condition was implemented, in comparison with the starting condition (the largest reacting temperature, steam-to-carbonate ratio, and N2 volume flow rate).
Finally, the numerical experiments, including a nonlinear Schrödinger equation, a sine-Gordon equation, a nonlinear Klein Gordon equation, and the well-known Fermi Pasta Ulam problem, are implemented in comparison with the corresponding symplectic RK methods and the prominent numerical results definitely coincide with the theories and conclusions made in this paper.
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The results show that iGSO has much better convergence performance and is easier to implement in comparison with other existing evolutionary algorithms.
Results conclude that the proposed fuzzy-molecular controller deals with uncertainty and noise, can handle dynamics in operating point, a model of the plant is not required, and it is easy and simple to implement in comparison with other controllers in literature.
It is also relatively easy to implement in comparison to other super-resolution techniques.
Unfortunately, to date, it cannot be easily implemented in multi-center trials since different vendors of MRI scanners have implemented different sequences of acquisition, therefore hindering comparison among sites with different MRI scanners.
The implementation of a QMS model takes the ordered logit form, enabling us to analyse the farmer's decision to implement a QMS in comparison with decisions made by other farmers.
We first briefly describe in Section 4.1 the 2D-transform coding techniques [18, 19] that we implemented in parallel for comparison with the proposed technique.
WES has been commonly used with clinical aims since its first application [ 47], although this technology has been also implemented in evolutionary comparison of genomes [ 48].
Sixthly, we assumed that all interventions were implemented at a relatively high efficiency level which allows an equal comparison between the cost effectiveness of interventions and avoids the complications from interventions that were not implemented well would be disadvantaged in comparison with those that were well implemented.
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