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The present methods give better control performances.
We show that neuro-fuzzy methods give better predictions than conventional modelling approaches.
It is shown that neuro-fuzzy methods give better results than other, more conventional, modeling approaches.
The comparison shows that both probabilistic methods give better predictions than the "standard" model.
Therefore, the present methods give better prediction results than traditional methods that are based on exact solutions.
Comparison with the other four popular existing methods is also conducted, which demonstrates that with the implementation of sparse coding, all methods give better retrieval results than without while constituting the codebook, implying the significant contribution of machine learning techniques.
Similar(50)
We show that the present family of methods gives better approximations and generalize all the existing finite difference and spline functions based methods up to order six.
To determine whether these methods gave better estimates of the vegetation composition than the original pollen proportions, the results were compared with the surveyed vegetation around each pond using the Bray Curtis Index.
When compared with voltage sensitivity index method, WOA and index vector methods gives better results.
However, when it is interpreted as a validation problem, both fusion methods gave better FAR/FRR values regarding to individual biometrics.
The results show that the new method give better perspective on the evaluation results and thus are more useful in giving indication to the lecturers to choose a better teaching techniques.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com