Exact(6)
The method is validated by comparison with other methods of producing attribute weights using the problem.
Furthermore, significant improvements in classification accuracy and computational time are demonstrated by comparison with other methods.
By comparison with other methods, the proposed methods appear very interesting in regard to computational time, formulation, and they necessitate fewer computer resources.
Through off-line experiments, the effectiveness of the proposed method was verified by comparison with other methods.
The results of this work are validated by comparison with other methods, which are the successive linearization method (SLM) and MATLAB's routine 'bvp4c'.
Our comparative analyses indicate that ignoring unequal transitional rates often results in closer estimates only when κR ≈ κY but rather biased estimates when κR > κY or κR < κY, and that MYN is more robust in simulations and real datasets by comparison with other methods, especially with YN.
Similar(54)
Lastly, the rationality and validity of the proposed method are verified by comparisons with other methods in case studies of IEEE 14-bus and 118-bus systems.
The model was proven to be valid by a comparison with other methods evaluating hysteresis behaviour.
By comparison with other genotyping methods, SNP-based methods are rapid, sensitive, easy to perform and unambiguous in result interpretation.
It is demonstrated by comparison with other previous methods that our method can fit the elliptical projections of SOR cross sections more accurately and robustly.
We also employ numerical examples to evaluate the accuracy of the proposed methods by comparison with other existing methods.
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