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Application of machine learning frameworks in the controllability study of infinite-delay neutral integro-differential equations Cover

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Application of machine learning frameworks in the controllability study of infinite-delay neutral integro-differential equations

International Journal of Mathematics and Computer in Engineering

By: Srinivasan Madhumitha, Prabakaran Raghavendran and Yamini Parthiban

Open Access

|Jun 2026

Figures & tables

Figures & Tables

Workflow for constructing a ML dataset directly from the mild solution of the model.

Comparing the numerically computed mild solution and the neural network approximation.

Articles in this issue

DOI: https://doi.org/10.2478/ijmce-2026-0021 | Journal eISSN: 2956-7068

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Language: English

Submitted on: Dec 10, 2025

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Accepted on: Apr 19, 2026

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Published on: Jun 2, 2026

Published by: Harran University

In partnership with: Paradigm Publishing Services

Publication frequency: 2 issues per year

Keywords:

Second-order neutral functional integro-differential equations,

infinite delay,

controllability,

mild random solutions,

stochastic analysis,

random fixed point theorem,

machine learning applications

Related subjects:

Computer sciences,

Computer sciences, other,

Introductions and overviews,

Engineering, other,

General mathematics,

© 2026 Srinivasan Madhumitha, Prabakaran Raghavendran, Yamini Parthiban, published by Harran University
This work is licensed under the Creative Commons Attribution 4.0 License.