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Modification Of High Performance Training Algorithms for Solve Singularly Perturbed Volterra integro-differential and integral equation | ||
| Journal of Al-Qadisiyah for Computer Science and Mathematics | ||
| Article 1, Volume 11, Issue 1, 2019, Pages 36-44 PDF (0 K) | ||
| Author | ||
| Khalid. Mindeel. M. Al-Abrahemee | ||
| Abstract | ||
| In this paper, we apply neural network for solve singularly perturbed Volterra integrodifferential equations (SPVIDE) and singularly perturbed Volterra integral equations (SPVIE). Using Modification Of High Performance Training Algorithms such as quase-Newton, Levenberge-Marqaurdt, and Baysian Regulation. The proposed method was compared with the standard training algorithms and analytical methods. We found that the proposed method is characterized by high accuracy in the results, a lower error rate and a speed that is much convergent to standard methods. | ||
| Keywords | ||
| Singularly perturbed Volterra integro; differential equations; Singularly perturbed Volterra integral equations; Singularly perturbed problems; neural network | ||
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