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Proper knowledge of modelling equations and constants helps to improve the estimation of the precision of variables, and lowers the cost of the system.
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Formulating the model equations and making them run is just the beginning of the modeling process.
* **neuronModels.py:** Neuron model equations and parameters.
J.F.R. derived the model equations and carried out the calculations.
The model equations and simulation results will be discussed.
The vehicle model is provided with open access to the vehicle model equations and parameters.
Model equations and constitutive relations (linear or not) are represented in MathML.
Numerical methods necessary for solving model equations and parameter estimation were described.
A comparison between predicted values using model equations and experimental values exhibited correlation coefficients (R2) greater than 0.98.
The surface roughness contours have been generated from these model equations and are shown of different plots.
The theophylline transport mechanism was studied by fitting experimental data to five different model equations and calculating the corresponding parameters.
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