Design of Neural Network With Levenberg-Marquardt and Bayesian Regularization Backpropagation for Solving Pantograph Delay Differential Equations

Design of Neural Network With Levenberg-Marquardt and Bayesian Regularization Backpropagation for Solving Pantograph Delay Differential Equations

In this paper, novel computing paradigm by exploiting the strength of feed-forward artificial neural networks (ANNs) with Levenberg-Marquardt Method (LMM), and Bayesian Regularization Method (BRM) based backpropagation is presented to find the solutions of initial value problems (IVBs) of linear/non...

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Bibliographic Details
Main Authors: Imtiaz Khan, Muhammad Asif Zahoor Raja, Muhammad Shoaib, Poom Kumam, Hussam Alrabaiah, Zahir Shah, Saeed Islam
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Artificial neural networks
Levenberg-Marquardt method
Bayesian regularization method
nonlinear pantograph equation
regression analysis
intelligent computing
Online Access:https://ieeexplore.ieee.org/document/9154452/

Internet

https://ieeexplore.ieee.org/document/9154452/

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