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| R2011b Documentation → Model-Based Calibration Toolbox | |
Learn more about Model-Based Calibration Toolbox |
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| Contents | Index |
The following table shows the model types available for one-stage and two-stage modeling.
| Model Type | One Stage and Two Stage Global | Two Stage: Local |
|---|---|---|
| Linear model | Yes | Yes |
| Radial basis function (RBF) | Yes | |
| Hybrid RBF | Yes | |
| Interpolating RBF | Yes | |
| Multiple linear models | Yes | |
| Free knot spline | Yes, one factor only | Yes, one factor only |
| Neural net (requires Neural Network Toolbox™ software) | Yes | |
| Average fit | Yes | |
| Multiple models* | Yes | |
| Growth models | Yes, one factor only | |
| Polynomial** | Yes, one factor only | |
| Polynomial spline** | Yes, one factor only | |
| Truncated power series | Yes, one factor only | |
| User defined# | Yes (the example is one factor only) | Yes |
| Transient# | Yes (the example is two factors only) | Yes |
*Multiple Models gives you access to global model types for your local model.
** Polynomial and polynomial spline are two special case linear models for local models with one input factor. You can use polynomial and polynomial spline models (with more settings) for local models with more factors by choosing Linear Models.
# User defined and transient models must be checked into the toolbox before you can use them. They will be available only for the number of factors you specified. There is an example user-defined model for a single factor preregistered with the toolbox. The example transient model provided must have exactly two factors, one of which must be time. See Local Model Class: User-Defined Models and Local Model Class: Transient Models for details.
![]() | Setting Up Models | Input Factor Setup | ![]() |

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