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DC Field | Value | Language |
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dc.contributor.advisor | Bensayah, Abdallah | - |
dc.contributor.author | Bendaoud, Imane | - |
dc.date.accessioned | 2023-09-24T09:10:58Z | - |
dc.date.available | 2023-09-24T09:10:58Z | - |
dc.date.issued | 2023 | - |
dc.identifier.uri | https://dspace.univ-ouargla.dz/jspui/handle/123456789/34242 | - |
dc.description | Modeling and Numerical Analysis | en_US |
dc.description.abstract | In this work, we have introduced the concept of approximarion theory with artificial neural networks, including the universal approximation property , review some estimation erreur results and numerical simulations with physics-informed neural networks using the DeepXde library. | en_US |
dc.description.abstract | Dans ce travail, nous avons introduit le concept de théorie de l'approximation avec le réseaux de neurones artificiels, y compris la propriété d'approximation universels, examiné certains résultats d'erreur d'estimation et des simulations numériques avec des réseaux neurones informés par la physique à l'aide de la bibliothèque DeepXde. | - |
dc.language.iso | en | en_US |
dc.publisher | UNIVERSITY OF KASDI MERBAH OUARGLA | en_US |
dc.subject | Réseaux de neurones artificiels | en_US |
dc.subject | théorème d'approximation universels. | en_US |
dc.subject | Artificial neural networks | en_US |
dc.subject | universal approximarion theory | en_US |
dc.title | Approximation Theory via Deep Neural Networks and some applications | en_US |
Appears in Collections: | Département de Mathématiques - Master |
Files in This Item:
File | Description | Size | Format | |
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Imane-Bendaoud.pdf | 1,08 MB | Adobe PDF | View/Open |
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