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Numerical experiments are implemented to verify the effectiveness of the proposed model and solution approach.
A prototype system is also implemented to verify the effectiveness of the proposed approach.
Besides that, a prototype system is also implemented to verify the effectiveness of the automatic shape adaptation approach.
Finally, numerical examples with real-world data sets are implemented to verify the effectiveness and robustness of the proposed approaches.
Finally, the simulation and the actual experiment are implemented to verify the effectiveness of the proposed ASCFNN controller.
Finally, the prototype circuit with 200 V output voltage, 200 W output power is implemented to verify the effectiveness of the proposed converter.
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Regression analysis was implemented to verify the proposed model.
Numerical simulations are implemented to verify the results.
The numerical results are implemented to verify our development.
Experimental results obtained with a low-pass filter with tunable cutoff frequency implemented in a 0.35 μm CMOS process to verify the effectiveness of the design procedure have shown close agreement with the theory.
In order to verify the effectiveness, the proposed algorithm is implemented using the e-nuvo biped robot.
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