Modification of high performance training algorithms for solve singularly perturbed volterra integro-differential and integral equation

Abstract EN

In this paper, we apply neural network for solve singularly perturbed Volterra integro-differential 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