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The purpose was to manipulate the model parameters so that the experimental conditions of Ghoodjani and Bolouri (2011) will be achieved.
The present model is constructed with fixed model parameters, so that it does not suffer from computational instability with the dynamic model.
This paper extends existing optimization-based methods that jointly identify the process and friction model parameters, so that a nonlinear process model structure is considered.
As far as possible, a clear physical meaning is given to the model parameters, so they can be identified by means of independent tests.
A simplistic channel model is used in order to limit the effect of advanced channel model parameters, so the contribution of the scheduling metric to the system performance could be isolated.
In the case of this work, a method is developed that optimally and dynamically processes financial market signals thereby training model parameters so that they adapt well to market changes.
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Sets of data were analyzed through machine learning process to select the optimal set of parameters, learning algorithm and model parameter so that the system resulted from the learning process could deliver the optimal predictive performance for appliance loads.
The key problem of medical CT image restoration and reconstruction by Bayesian compressed sensing is to establish an accurate prior distribution model, including sparse coefficients, the point spread function, model parameters, and so on.
Response coefficients quantify the sensitivity of steady-state variables to variation in model parameters, and so pertain to a particular steady state [ 31].
While in offline researches like power system planning, it helps to find the devices with inappropriate models or parameters, so that the system dynamics could be improved.
Furthermore, the obtained segmentation is applied to the process of model parameter estimation so as to get the model based prediction of tumor evolution.
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