Convergence and Robustness Analysis of the Exponential-Type Varying Gain Recurrent Neural Network for Solving Matrix-Type Linear Time-Varying Equation

To solve matrix-type linear time-varying equation more efficiently, a novel exponentialtype varying gain recurrent neural network (EVG-RNN) is proposed in this paper. Being distinguished from the traditional fixed-parameter gain recurrent neural network (FG-RNN), the proposed EVG-RNN is derived from...

Full description

Bibliographic Details
Main Authors: Zhijun Zhang, Zheng Fu, Lunan Zheng, Min Gan
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8481681/

Similar Items