Examples of using Parameter estimation in English and their translations into Portuguese
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Includes automated parameter estimation.
The parameter estimation of polymerization models is normally a difficult task.
In approach 02,experimental data sets were simultaneously used for parameter estimation.
Parameter Estimation is more complex, and involves correlating a COMSOL model to experimental data.
This correlation can then be used in parameter estimation and forecasting of results.
The parameter estimation procedure for both models was conducted considering maximum likelihood methods.
He examined tokamaks stability and gave some parameter estimation for Soviet tokamak experiments.
In the system identification, there are a lot of steps to taken.one of these steps is the parameter estimation.
Moreover, the parameter estimation is supposed to be computed at each sample of the zero-oset(zo) stacked section or volume.
For this reason it is necessary to consider the quantum version of the parameter estimation theory, that is the quantum metrology.
Parameter estimation for a three-phase distributed synchronous generator model using… Electric Power Systems.
The objective of this work is to elaborate a strategy for parameter estimation and thermodynamic modeling of the thf/h2o system.
The parameter estimation for the models was performed by the least square method and the gauss-newton interactive process.
The procedure involves the plan latin hypercube sampling,selection of the type of metamodel, parameter estimation and validation.
In this dissertation, the pavement parameter estimation using ground penetrating radar is approached from three different methodologies.
The Experiment feature of the Reaction Engineering interface can now convert the unit of the imported data used for parameter estimation.
The parameter estimation is performed by maximum likelihood method using the gauss hermite quadrature to approximate the likelihood function.
In approach 01,one of the sets of experimental data was used for parameter estimation and another for validation of the proposed models.
In this methodology the growth curve is approximated by a smooth function that is not associated with a growth model andtherefore is independent of parameter estimation.
A package in r language was especially developed to obtain parameter estimation, random effects predictions and residuals for the proposed models.
This thesis has several aspects related to the problem of basin modeling towards oil and gas exploration, andwith two general divisions: parameter estimation, and pressure prediction.
The importance of modelling and parameter estimation tools for understanding of process phenomena in these system is also highlighted.
You can use this solver when the objective function is of a least-squares type,typically for parameter estimation and curve fitting applications.
From experimental data reported in the literature, parameter estimation tasks were performed with deterministic and stochastic methods for correct description of the experimental data.
For the methodology of measurement andanalysis of the relationships between the constructs, the parameter estimation was used by the pls(partial least square) method.
To fit the model to the experimental data, a parameter estimation technique was used and the heat transfer correlation that could better fit the tested fuels and engine was determined.
Under certain conditions, that are checked by solving an lmi problem,the state variable and parameter estimation errors are guaranteed to converge to zero.
This work performs initial parameter estimation, framed in a kinetic modeling, which seek to explain the development of the reaction and the formation of paraffins and olefins in tubular fixed bed reactors with cobalt catalyst.
The main steps of a classical rto cycle are considered: steady-state identification,data reconciliation, parameter estimation and economical optimization.
The parameter estimation is of great importance and used in countless situations, such as experimental obseration of a phenomena in the laboratory or even by those who study the behaviors social sectors by population samples.