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Designing feed forward fully fuzzy neural network to solve fuzzy singular perturbed Volterra integro-differential equations

Ghassan Salih Salman, Khalid Mindeel Mohammed Al-Abrahemee

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Source: Crossref

Published: Jan 1, 2025

DOI: 10.47974/jim-1804

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Source abstract

Recently, the study of singular Volterra integro-differential equations has been of increasing interest for a long time. Our paper has a design for a fast feed-forward neural network to adduce a new method for solving one-dimensions fuzzy singular perturbed integro-differential equations. Employing a multi-layer that has one hidden layer with five units and one linear output unit. And the sigmoid activation for every unit is the hyperbolic tangent function and the Levenberg-Marquardt training algorithm.We compared our exact solution in illustrative examples with the results of numerical experiments, confirming the efficiency and accuracy of our presented scheme.

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Designing feed forward fully fuzzy neural network to solve fuzzy singular perturbed Volterra integro-differential equations — Mathematical Frontier Network