A Jackson-type estimate in terms of the \(\tau\)-modulus for neural network operators in \(L^{p}\)-spaces
In this paper, we study the order of approximation with respect to the \(L^{p}\)-norm for the (shallow) neural network (NN) operators. We establish a Jackson-type estimate for the considered family of discrete approximation operators using the averaged modulus of smoothness introduced by Sendov and...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Tuncer Acar
2024-08-01
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| Series: | Modern Mathematical Methods |
| Subjects: | |
| Online Access: | https://modernmathmeth.com/index.php/pub/article/view/42 |
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