Design of Morlet Wavelet Neural Network for Solving a Class of Singular Pantograph Nonlinear Differential Models

Design of Morlet Wavelet Neural Network for Solving a Class of Singular Pantograph Nonlinear Differential Models

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The aim of this study is to design a layer structure of feed-forward artificial neural networks using the Morlet wavelet activation function for solving a class of pantograph differential Lane-Emden models. The Lane-Emden pantograph differential equation is one of the important kind of singular func...

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Bibliographic Details
Main Authors: Kashif Nisar, Zulqurnain Sabir, Muhammad Asif Zahoor Raja, Ag. Asri Ag. Ibrahim, Fevzi Erdogan, Muhammad Reazul Haque, Joel J. P. C. Rodrigues, Danda B. Rawat
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Pantograph
singular
artificial neural networks
genetic algorithms
neuron analysis
interior-point algorithm
Online Access:https://ieeexplore.ieee.org/document/9402754/

Internet

https://ieeexplore.ieee.org/document/9402754/

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