Neural network solution of pantograph type differential equations-Reference-Cited by-同舟云学术

Neural network solution of pantograph type differential equations

Published:2020-01-02 Issue:6 Volume:43 Page:3369-3374
ISSN:0170-4214
Container-title:Mathematical Methods in the Applied Sciences
language:en
Short-container-title:Math Meth Appl Sci

Author:

Hou Chih‐Chun¹,Simos Theodore E.²³⁴^ORCID,Famelis Ioannis Th.⁵

Affiliation:

1. Yulin Normal University Yulin 537000 China

2. South Ural State University, 76, Lenin Aven. Chelyabinsk 454080 Russia

3. Group of Modern Computational Methods Ural Federal University, 620002, 19 Mira st. Ekaterinburg Russian

4. Fed, Section of Mathematics, Department of Civil Engineering Democritus University of Thrace Xanthi Greece

5. Department of Electrical and Electronic Engineering microSENSES Laboratory Athens Greece

Publisher

Wiley

Subject

General Engineering,General Mathematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mma.6126

Reference27 articles.

1. Weisstein EW.Functional Differential Equation. From MathWorld–A Wolfram Web Resource.http://mathworld.wolfram.com/FunctionalDifferentialEquation.html.

2. The functional-differential equation $y'\left( x \right) = ay\left( {\lambda x} \right) + by\left( x \right)$

3. On a Functional Differential Equation

4. On the generalized pantograph functional-differential equation

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