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Moreover, a modified solution comparison criterion and an adaptive ranking strategy for DE are introduced to improve the accuracy of solutions.
After setting up of a cost structure, the respective levelised cost of electricity (LCOE) have been used as comparison criterion for two storage systems with different designs.
Linear regressions between predicted mass flow rate data and experimental measurements were computed, and used them as a statistical comparison criterion.
Two samples of 163 and 68 programs were used for verifying and validating respectively the models; the comparison criterion was the Mean Magnitude of Error Relative to the estimate (MMER).
Further the comparison criterion based on the mean square error between the finite element method (FEM) mode shapes and the Guyan expansion mode shapes identified by data-driven stochastic subspace identification (SSI-DATA) method are employed to demonstrate the advantage of the different fitness function.
The Kullback-Leibler's measure can be understood like a comparison criterion between two distributions.
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Finally, two mode shape comparison criteria, termed as the Flexibility Proportional Modal Assurance Criterion (FPMAC) and the Flexibility Proportional Coordinate Modal Assurance Criterion (FPCOMAC), are proposed.
The comparison criteria and specifications are also described.
The comparison criteria are the energy required and the controlled variables response.
However, none of the models did uniformly well in all comparison criteria.
Comparison criteria are the generality, robustness, efficiency, and capacity of each method.
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CEO of Professional Science Editing for Scientists @ prosciediting.com