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Convergence analysis and application for high-order neural networks based on gradient descent learning algorithm via smooth regularization

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Τίτλος: Convergence analysis and application for high-order neural networks based on gradient descent learning algorithm via smooth regularization
Συγγραφείς: Mohamed, Khidir ShaibAff1, IDs41598025294941_cor1, Adam, AlawiaAff1, Mohammed, Yousif ShoaibAff2, Xiong, YanAff3
Πηγή: Scientific Reports. 16(1)
Βάση Δεδομένων: Springer Nature Journals
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  – Url: https://dx.doi.org/doi:10.1038/s41598-025-29494-1
    Name: EDS - Springer Nature Journals (s7799221)
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PubType: Academic Journal
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  Data: <i>Scientific Reports</i>. 16(1)
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        Value: 10.1038/s41598-025-29494-1
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      – Text: English
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      – TitleFull: Convergence analysis and application for high-order neural networks based on gradient descent learning algorithm via smooth regularization
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            NameFull: Adam, Alawia
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            NameFull: Mohammed, Yousif Shoaib
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            – D: 01
              M: 12
              Type: published
              Y: 2026
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              Value: 16
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