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In the presence of outliers, the proposed nonparametric methods have better power than their parametric counterparts.
Wrapper methods have better performance when the sample size is sufficiently large.
Comparison of the results indicates that the ANN and WNN as nonlinear methods have better predictive power than the linear methods.
The results show that all these three methods have better model performances than the expert screening in terms of R2, the number of variables in the model, and PRESS.
Simulation results show that the proposed methods have better prediction accuracy and control performance than those achieved by the conventional Hammerstein model and its associated adaptive decentralized PID controller design, respectively.
Combining theoretical analysis and numerical simulations, it is shown that the soft robots that employed the two actuation methods have better kinetic and energetic performances owing to the resonant working state of the acoustic-film coupling system, compared to other types of soft robots, such as swimming, slithering, or quadruped gait robots.
Similar(34)
Extensive numerical examples show that computing curve intersection by homotopy methods has better accuracy, efficiency and robustness than by the Ehrlich Aberth iteration method.
There are other methods having better prediction results combining complicated sequence features and structure features [ 35].
Results showed that some of the ligands designed using the computational methods had better docking energies than peptides designed using a purely chemical knowledge-based approach [ 61].
It is obvious that the results of the proposed method have better details and edges.
Also, it was indicated that those NPs supported through SSD method, have better photocatalytic performance than those supported through FHRC method.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com