Neural Fractional Differential Equations: Optimising the Order of the Fractional Derivative

Neural Fractional Differential Equations (Neural FDEs) represent a neural network architecture specifically designed to fit the solution of a fractional differential equation to given data. This architecture combines an analytical component, represented by a fractional derivative, with a neural netw...

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Bibliographic Details

Published in:	Fractal and fractional Vol. 8; no. 9; p. 529
Main Authors:	Coelho, Cecília, Costa, M. Fernanda P., Ferrás, Luís L.
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01-09-2024
Subjects:	Approximation Boundary value problems Derivatives Differential equations Fractional calculus fractional differential equations Impact analysis Neural networks Numerical analysis optimisation Optimization Ordinary differential equations Process parameters
Online Access:	Get full text
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