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You can try Polynomial neural network generic algorithm with examples mentioned
in the article.
Load example data:
- Random noise with three
more random variables added
- Prediction of the
sublimation enthalpy
Then click Start button.
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This page helps PNN users initialize
PNN generic algorithm using buffer input. Use copy and paste method to place
the initial array into text area above. Select the appropriate row value
delimiter from the drop-down list below text area.
Important. Each row should start with new line. The last value
in each row should contain the target value. Use simbol "." as decimal point
separator.
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Use Configuration section above text area to change the
settings (parameters) for PNN generic algorithm
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Check the Robust checkbox to enable the
robust iteration during models calculation |
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Press Start button to start the calculation
and view the results
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Press Clear button to return to default
algorithm settings and zero-field table of minimum size
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Limitation. Although the commercial version
of PNN engine has no limitations on number of input rows and columns, this demo
version has limit of maximum 10 attributes and 15 rows.
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To learn more about Polynomial neural network generic
algorithm, please read our article
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Please, don't hesitate to
contact us about additional Polynomial neural
network generic algorithm information.
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