Do one of the following:
In the Name of approximation text box, enter
a name for the approximation.
Select Automatic, and click Next.
The Input and Output Parameters screen appears.
If the approximation is created for an application
component, all the parameters of the component are displayed on the page.
If the approximation is created for a process
component, all the parameters mapped to the subflow are displayed, along
with all parameters from the subflow that are still not mapped to the
parent. Selecting the latter parameters results in the automatic creation
of corresponding parameters in the process
component.
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Determine which parameters you want to use by selecting the corresponding
check boxes in the first column. Alternatively, you can click Check
to add all the selected parameters. To clear all the parameters, click
Uncheck.
If your parameters contain arrays, click the check box next to the array
root to select all members of the array.
Note:
For any inputs that are not selected, the values for
these inputs will have no effect on the outputs evaluated from the approximation.
Similarly, if you do not select one of the output parameters, its value
will remain constant during execution of the approximation.
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Click Next.
The Sampling Options screen appears.
From the Sampling Options screen, set the following
options, as desired:
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In the sample points text box, specify the number
of points for your approximation. This number must be at or above the
minimum required number of points specified in the text message above
the entry box. If you selected an array, the minimum required number
of points reflects your choice.
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Click As many points as possible in, and enter
a time limit for determining the number of points. Isight
will keep executing for the specified duration of time.
Note:
If less than the minimum required number
of points is executed, Isight
will continue executing sampling points until the requirement is met.
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Click Use a fixed random seed, and specify a
seed value to use for the random number generator when determining the
set of sample points to be executed. This option allows you to reproduce
the approximation with the same set of points later, if desired.
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Click Execute design points in parallel if you
want to execute your initialization points in parallel. You can use this
option only if you are using a multiple CPU system or if you are connected
to a SIMULIA Execution Engine.
Click Next.
The Sampling Range screen appears.
From the Sampling Range screen, change the Lower
and Upper values for the listed input parameters,
as desired. These bounds determine the design space where the random
points are generated by Isight.
Click Next.
The Approximation Improvement Options screen
appears.
From the Approximation Improvement Options screen,
set the following options as desired. For more information, see Improving Approximations using Sequential Sampling.
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Click Skip this step to toggle off approximation
improvement. By default, approximation improvement is active for automatic
approximations. Isight
uses cross-validation to estimate the model error for sequential sampling.
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Enter a target for the average prediction error of the approximation.
Isight
adds sample points sequentially until the average error falls below the
value that you enter. Valid values are 0.0–1.0.
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Enter the maximum number of additional points that you want to use for
improving the approximation.
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Enter the maximum number of iterations to improve the approximation.
Dividing the maximum number of additional points by the maximum number
of iterations results in the number of points that are added during each
iteration of sequential sampling. Although it is desirable to add one
point during each iteration, choosing fewer iterations reduces the time
taken to fit the approximation model.
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Click Next.
The Runtime Options screen appears.
From the Runtime Options screen, set the Store
coefficient data in file parameter named option.
When activated, this option creates a file parameter that stores the
approximation’s coefficient data. This option is useful if the approximation
is initialized or updated (re-initialized) during execution and the coefficient
data are needed for custom postprocessing. It is also useful if you want
the coefficient data preserved in your database. For more information
on file parameters, see Using File Parameters.
Click Finish.
A message appears prompting you to initialize the approximation:
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