A novel lagrange functional link neural network for solving variable-order fractional time-varying delay differential equations: a comparison with multilayer perceptron neural networks
Abstract:In this paper, a new functional link neural network based on Lagrange polynomials is introduced. Due to the well-known efficiency of Lagrange polynomials for solving different problems in fractional calculus, these functions are considered as the neuro-solutions for a class of nonlinear variable-order fractional time-varying delay differential equations. Compared with the other kinds of neural networks such as multilayer perceptron, the suggested functional link neural network shows more satisfactory results. … Show more
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.