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Although high-fidelity models can provide an accurate estimation, running these models is usually time-consuming.
The optimal forecasting horizon of bankruptcy prediction models is usually one year.
The validity of these models is usually established by benchmark testing.
The accuracy of the resulting ANN models is usually better, and more robust, than the original large ANN model.
This lack of consistency leads usually to a disconnected design process where the transformation of models is usually performed manually.
Squeezing ever more efficiency out of business models is usually great for profitability, but rarely a boon for the labor force.
Similar(30)
For this, disturbance models are usually employed.
For practical applications, system models are usually unknown.
These sorts of models are usually based upon a mathematical foundation that can be difficult to manipulate especially for students.
Geotechnical models are usually associated with considerable amounts of model uncertainty.
However, near-well models are usually developed standalone and are decoupled from reservoir models.
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