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Identification experiments showed the high purity of the skin fibroblasts (Fig. S4).
Verification and identification experiments were conducted in order to evaluate the performance of the proposed method.
In the author identification experiments we incorporate the UserID (u_i) as the target class.
This paper examines the problem of input signal design for open-loop identification experiments.
Parameter identification experiments deliver an identified model together with an ellipsoidal uncertainty region in parameter space.
However, the optimal design of such identification experiments remains completely unexplored.
In addition, both static and dynamic identification experiments are performed to effectively identify the model.
The field data from identification experiments are processed by Comprehensive Learning Particle Swarm Optimization CLPSOO).
Results of the identification experiments are presented, including implications of assumptions of decoupling and linearity.
For the author identification experiments we have made use of the Waikato Environment for Knowledge Analysis (WEKA) [29].
To minimize process perturbation by identification experiments, the model for controller design was derived from a rigorous LNG simulator.
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