Description of a System behaviour in response to the parameters to which the system is sensitive to (see Fig. 1).
Modern models are usually implement in the form of a software which provides interface to input the data and then initiate a model run and receive the model output.
Fig. 1. Schematic of the Model components, including Model Inputs, Model Outputs and Model Run |
It normally follows the Model Description Protocol:
Motivation | Explains the reasons why a Model may come in need |
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Inputs | A list of System properties which Model takes as input |
Outputs | A list of System properties which Model simulates based on the Model Inputs |
Model Proposition | A list of assumptions/constraints which have been put into the Model |
Model Mathematics | Definition of the Model using mathematical concepts and mathematical language |
Model Solver | Description of the solution algorithm to the Mathematical Model |
Approximations | Simplified solver(s) for rough estimations and fast track analysis of a System's behavior |
Model Matching | Description of algorithm of matching the Model to the training data |
Applications | A list of popular Model applications and limitations |
Examples (Cases) | A list of practical cases showing Model functionality and usefulness and limitations |
See also
[ Computational Model (Solver) ] [ Model Run ]