Introducing the Second-Order Features Adjoint Sensitivity Analysis Methodology for Neural Integral Equations of the Volterra Type: Mathematical Methodology and Illustrative Application to Nuclear Engineering
This work presents the general mathematical frameworks of the “First and Second-Order Features Adjoint Sensitivity Analysis Methodology for Neural Integral Equations of Volterra Type” designated as the 1st-FASAM-NIE-V and the 2nd-FASAM-NIE-V methodologies, respectively. Using a single large-scale (a...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-03-01
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| Series: | Journal of Nuclear Engineering |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2673-4362/6/2/8 |
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