Neural networks predict the frequency parameter in HP-splines to balance approximation accuracy, stability, and model complexity for exponential data.
(2019) Smoothing exponential-polynomial splines for multiexponential decay data,Dolomites Research Notes on Approxima- tion, Volume 12, Issue 1, pp
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Accuracy and stability of Artificial Neural Networks for HP-Splines frequency parameter selection
Neural networks predict the frequency parameter in HP-splines to balance approximation accuracy, stability, and model complexity for exponential data.