N/A

In this thesis, we address the issue of boundary influence by interior points in the context of the non-local singularly perturbed equation. On the other hand, we provide an example with exact solutions and employ neural networks to analyze its solutions. Moreover, we identify several potential challenges that may arise. In the first section, we explore computational approaches to estimate the behavior of the solution and its derivatives. In the second section, we investigate the problems that may occur when using neural networks to handle such equations, along with their underlying causes.

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