Approximation by Steklov Neural Network Operators
Fuente:
arXiv
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| Autori principali: | , , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| Soggetti: | |
| Accesso online: | |
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| _version_ | 1866929634801614848 |
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| author | Karaman, S. N. Turgay, M. Acar, T. |
| author_facet | Karaman, S. N. Turgay, M. Acar, T. |
| contents | The present paper deals with construction of newly family of Neural Network operators, that is, Steklov Neural Network operators. By using Steklov type integral, we introduce a new version of Neural Network operators and we obtain some convergence theorems for the family, such as, pointwise and uniform convergence, rate of convergence via modulus of continuity. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2410_01426 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Approximation by Steklov Neural Network Operators Karaman, S. N. Turgay, M. Acar, T. Functional Analysis Machine Learning The present paper deals with construction of newly family of Neural Network operators, that is, Steklov Neural Network operators. By using Steklov type integral, we introduce a new version of Neural Network operators and we obtain some convergence theorems for the family, such as, pointwise and uniform convergence, rate of convergence via modulus of continuity. |
| title | Approximation by Steklov Neural Network Operators |
| topic | Functional Analysis Machine Learning |
| url | https://arxiv.org/abs/2410.01426 |