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A variable universe fuzzy closed-loop control method based on parameter estimation is proposed for controlling tremor predominant Parkinsonian state.
We compared the Rossini Rothwell (R R) relative-frequency method to an adaptive threshold-hunting method based on parameter estimation by sequential testing (PEST) for determining MT and the SI to target a MEP amplitude of 1 mV (I1 mV).
The methods are evaluated based on parameter estimation procedures applied (including introduction of the sequential Monte Carlo sampler in RBLM), the capability of the resulting sequences to reproduce standard validation statistics, and the representation of observed rainfall variability and intermittency, within-day wet spells, and extreme rainfall percentiles.
The procedure of model selection based on parameter estimation is provided in Materials and Methods.
For a computational/system biologist, this shows that it is essential to further analyze a model prediction, when results are obtained from reverse engineering based on parameter estimation, since some of its properties may or may not invalidate the results.
Selection of surfactants for bioremediation application could be based on parameter estimation and experimental data, taking in consideration physico-chemical characteristics, toxicity and effectiveness of biodegradation (Franzetti et al. 2008).
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We constructed two Markov models to estimate the extent of overdiagnosis: one to estimate screening parameters based on the Age trial data (parameter estimation model), and one to estimate overdiagnosis based on parameter estimates from the first model (overdiagnosis model).
Predictions in the validation process were made based on parameters estimated from estimation sample.
For models with more reactions than measured species, a common scenario in biological modeling, the parameter estimation is formulated as a nested optimization problem based on incremental parameter estimation strategy.
The two methods are then used in a fault detection and isolation algorithm based on SM parameter estimation that is applied to detect abnormal parameter values in a biological case study.
Therefore, we estimated the structure based on model parameter estimation examining which structures could reliably reproduce the experimental data with respect to the signal amplitude and duration of the signaling molecules.
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based on factor estimation
based on parameter estimates
based on parameter learning
based on parameter analysis
based on parameter study
based on parameter Set
based on linear estimation
based on parameter selection
based on likelihood estimation
based on state estimation
based on parameter uncertainty
based on expert estimation
based on parameter modeling
based on parameter identification
based on model estimation
based on effect estimation
based on channel estimation
based on parameter range
based on distance estimation
based on parameter transfer
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