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In the present continuation of that study, we evaluate the largest conventional capacity that would have been required during the one year of data employed for our simulations.
We show that best estimates of the parameters of these two models heavily depend on the type of data employed for model calibration.
The data employed for the training and development varied from one evaluation to another.
The main data employed for this analysis were the 2004 2008 Current Population Survey (CPS) September Volunteering Supplements.
This phone confusion matrix was trained on the training data employed for acoustic model training by running a phone recognition experiment.
This LM was trained from the SRILM toolkit [98] using the word transcription of the data employed for acoustic model training.
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A physically, empirically based approach using geographically based information such as topography, soil data and land use/land cover data is employed for estimating spatially varied parameters.
Two algorithms for the OP motion parameter estimation (parallel and with preliminary data compression), employed for several measuring channels data estimation, are developed, and simulated on a computer.
In ANN model, 80% data were used to train and 20% data were employed for testing.
Mann-Whitney U tests (nonparametric data) and Student's t-tests (parametric data) were employed for the statistical analyses.
Open-sources literature data were used for SVR model construction and Iranian Oils data were employed for model evaluation.
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