Adaptive Neuro-Fuzzy Enhanced Spectral Collocation Framework for Solving Nonlinear Fuzzy Volterra–Fredholm Integro-Differential Systems
Keywords:
Fuzzy integro-differential equations; Spectral collocation; Neural fuzzy systems; Adaptive algorithms; Convergence analysis; Fuzzy numerical methods.Abstract
This work proposes an enhanced adaptive neuro-fuzzy spectral collocatiostrategy for the numerical solution of nonlinear fuzzy Volterra–Fredholm integrodifferential equations. The method combines the exponential accuracy of Legendre-based spectral discretization
References
L. Van Beek, M. Hajer, P. Pelzer, D. Van Vuuren, C. Cassen, Anticipating futures through models: The rise of Integrated Assessment Modelling in the climate science-policy interface since 1970, Glob. Environ. Change, 65 (2020), Article 102191.
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Published
2025-12-29
How to Cite
Ali Hussein Ali. (2025). Adaptive Neuro-Fuzzy Enhanced Spectral Collocation Framework for Solving Nonlinear Fuzzy Volterra–Fredholm Integro-Differential Systems. Journal of Computational Analysis and Applications (JoCAAA), 34(12), 761–773. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/4569
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