Sentence examples for model parameters measured from inspiring English sources
Case-deletion methods rank influence by changes in the model parameters (measured through the Mahalanobis distance), performance (using objective function displacement) and predictions (e.g. mean and maximum streamflow).
The behavior of the Cane-Zebiak ENSO prediction model is analyzed as a function of model parameters measuring the strength of coupling between the model ocean and atmosphere and the amplitude of the back-ground seasonal cycle specified in the model.
Tables 1 and 2 present the inverse solutions and the corresponding error (in percentage) of each model parameter measured with respect to the true value of this parameter.
There was no significant difference in κ (model parameter measuring variability around probed item orientation) between all four groups demonstrating that change in the resolution of information in VSTM does not contribute to the impairments observed.
Starred regions indicate significance as in E. Inset shows model behavior using parameters measured in D. Knockdown of Notch was measured to be 70%.
To assess the potential of using numerical modeling as a tool to optimize the design and operation of land application equipment, the specific objectives of the work reported herein were to model the flow of organic fertilizers in such machines and to validate the models against various parameters measured during field experiments using commercial spreaders.
Finally, we experimentally validate the simplified G-D model for a moderately confined fiber, comparing amplifier measurements with predictions based on measured fiber parameters; measured and modeled gain and noise figure are in excellent agreement, in the absence of adjustable parameters.
These moments are seen as useful to estimate unknown model parameters from measured profiles.
We present a novel methodology to extract model parameters from measured S-parameters for silicon on-chip center-tapped symmetric spiral inductors.
The models are found to predict some behaviour reasonably well but only when model parameters are measured from the experimental data.
A Markov Chain Monte Carlo (MCMC) method is used to explore the posterior density of model parameters using measured data from dynamic tests at different temperatures.
