Neural networks predict the frequency parameter in HP-splines to balance approximation accuracy, stability, and model complexity for exponential data.
(1989) Approximation by superpositions of a sigmoidal function.Math- ematics of control, signals and systems, 2.4: 303-314
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
math.NA 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
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.