R^2 for comparing the results of measured vs. predicted (non-linear model) values

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Ashish
Ashish 2015 年 10 月 13 日
コメント済み: Greg Heath 2015 年 10 月 13 日
I use the neural network toolbox for creating empirical relations between different parameters. The same relations are used to extrapolate the data for the remaining data set. Since the neural network is a highly non-linear framework, can I use R^2 as the statistic measure to compare the predicted values and the measured values?

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Greg Heath
Greg Heath 2015 年 10 月 13 日
Yes. Search the NEWSGROUP and ANSWERS with
greg and one of Rsq R2 R2a R2trn R2trna R2val R2tst
Hope this helps.
Thank you for formally accepting my answer
Greg
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Ashish
Ashish 2015 年 10 月 13 日
Hi Greg, a formal link to it would be highly appreciated.
Greg Heath
Greg Heath 2015 年 10 月 13 日
In order to give you a formal link I would have to
Search the NEWSGROUP and ANSWERS with
greg and one of Rsq R2 R2a R2trn R2trna R2val R2tst

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