Designing feed forward fully fuzzy neural network to solve fuzzy singular perturbed Volterra integro-differential equations
Ghassan Salih Salman, Khalid Mindeel Mohammed Al-Abrahemee
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.
Evidence graph
No public relationships recorded yet.
Integrity note: This page is a factual metadata record created by deterministic ingestion. It is not a claim that the work moves a mathematical frontier or has been independently verified.