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Shortcomings of this method are outlined in this paper.
However, problems such as poor separation and low stability after derivatization state are some of the shortcomings of this method.
One of the shortcomings of this method is that it completely ignores the flowing pressure data; thus, when applied, there is always underestimation or overestimation of reserves.
But one of the main shortcomings of this method is that it is unable to address the uncertainty and the imprecision of the decision makers in generating the pairwise comparison matrixes.
In view of the shortcomings of this method, this paper combines the differential evolution algorithm with the BP algorithm, and proposes an improved differential evolution BP algorithm to optimize the fuzzy neural network forecasting network traffic.
Nevertheless, some shortcomings of this method, such as uncertainties derived from generalization of the ecosystem types and assumptions of invariance across spatial scales, indicate the need for new approaches.
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The shortcoming of this method is the difficulty of fixing the knife to the target lesion.
The shortcoming of this method is that the residual ionic current during theDNA translocation is insufficient for direct base identification.
But a significant shortcoming of this method is that it neglects the sag of contact wire and cannot reflect the mechanical equilibrium relationship.
Consequently, ISPRING can create a pathological warping path in the accumulated cost matrix and this is a shortcoming of this method.
However, the main shortcoming of this method is that the "voice of the customer" is tapped through the use of conventional surveys.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com