Optimal Type-3 Fuzzy System for Solving Singular Multi-Pantograph Equations

Optimal Type-3 Fuzzy System for Solving Singular Multi-Pantograph Equations

In this study a new machine learning technique is presented to solve singular multi-pantograph differential equations (SMDEs). A new optimized type-3 fuzzy logic system (T3-FLS) by unscented Kalman filter (UKF) is proposed for solution estimation. The convergence and stability of presented algorithm...

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Bibliographic Details
Main Authors: Chao Ma, Ardashir Mohammadzadeh, Hamza Turabieh, Majdi Mafarja, Shahab S. Band, Amir Mosavi
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Machine learning
artificial intelligence
fuzzy systems
Lyapunov stability
learning algorithm
multi-pantograph differential equations
Online Access:https://ieeexplore.ieee.org/document/9292666/

Internet

https://ieeexplore.ieee.org/document/9292666/

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