Neural networks predict the frequency parameter in HP-splines to balance approximation accuracy, stability, and model complexity for exponential data.
(1992) Ten Lectures on Wavelets, CBMS-NSF Regional Conference Series in Applied Mathematics 61.SIAM(Philadelphia)
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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.