Convergence Analysis of Caputo-Type Fractional Order Complex-Valued Neural Networks

Convergence Analysis of Caputo-Type Fractional Order Complex-Valued Neural Networks

The complex-valued neural networks are the class of networks that solve complex problems by using complex-valued variables. The gradient descent method is one of the popular algorithms to train complex-valued neural networks. Essentially, the established networks are integer-order models. Compared w...

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Bibliographic Details
Main Authors: Jian Wang, Guoling Yang, Bingjie Zhang, Zhanquan Sun, Yusong Liu, Jichao Wang
Format: Article
Language:English
Published: IEEE 2017-01-01
Series:IEEE Access
Subjects:
Complex-valued neural networks
Caputo fractional derivative
monotonicity
convergence
Online Access:https://ieeexplore.ieee.org/document/7874172/

Internet

https://ieeexplore.ieee.org/document/7874172/

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