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Fractional-order neural networks have plenty of favorable characteristics, such as infinity memory and hereditary features, in contrast with integer-order ones, whereas the approaches investigated in integer-order neural networks cannot be applied straightforward to fractional-order ones.
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One reason might be that the post-processing operation becomes rather complicated for obtaining adequate results without great noise and errors if the technique is applied straightforward to the small data acquired in clinics.
It is easy to apply, straightforward to interpret, and mathematically well elaborated.
c For heterogenous Rayleigh fading channels, f g j, i ( g ) = λj,ie−λj,ig,g≥0, (4) is rephrased as F γ k, i m ( x ) = 1 − e − λ k + m − 1, i P x ∏ j = 1, j ≠ m N ( 1 + λ k + m − 1, i λ k + j, i x ), x ≥ 0. d Straightforward modifications can be applied to (13) and (14) to prove the theorem for heterogenous networks.
The identification is straightforward and can be applied to shifted bands corresponding to stable DNA-protein complexes as well as unstable complexes, which undergo dissociation during electrophoresis.
The proposed method will appeal to more investigators because the process has now been operationalized, is fairly straightforward to apply, it can be applied to a wide range of topics and the return on effort is significant.
Although angle-based approaches are straightforward, they can be applied to bi-objective optimization problems only.
For testing the application under varying network loads, straightforward techniques can be applied to alter the originally captured traffic trace.
This approach is relatively straightforward and can be applied to any of the proposed estimation methods.
However, the methods described are straightforward and could be applied to other data sets from healthy adult subjects.
This can be achieved in the domain of preclinical tumor models in which multiplex measurements can be obtained; however, the steps parameter selection/optimization, Sobol sensitivity, and optimization-based control analysis are reasonably straightforward and can be applied to large-scale models.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com