Toward Fuzzy Activation Function Activated Zeroing Neural Network for Currents Computing
Author:
Affiliation:
1. School of Information and Electrical Engineering, Hunan University of Science and Technology, Xiangtan, China
2. School of Information Engineering, Zunyi Normal University, Zunyi, China
Funder
National Natural Science Foundation of China
Science and Technology Project of Guizhou
Scientific Research Fund of Hunan Provincial Education Department
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/8920/10299398/10106457.pdf?arnumber=10106457
Reference28 articles.
1. Zeroing Neural Networks for Dynamic Quaternion-Valued Matrix Inversion
2. A combined power activation function based convergent factor-variable ZNN model for solving dynamic matrix inversion
3. A Disturbance Suppression Zeroing Neural Network for Robust Synchronization of Chaotic Systems and Its FPGA Implementation
4. A fixed-time convergent and noise-tolerant zeroing neural network for online solution of time-varying matrix inversion
5. A robust predefined-time convergence zeroing neural network for dynamic matrix inversion;jin;IEEE Trans Cybern,2022
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1. Predefined-time robust adaptive gradient neural network for solving linear time-varying equations and its applications;Expert Systems with Applications;2024-12
2. A novel fuzzy-type zeroing neural network for dynamic matrix solving and its applications;Journal of the Franklin Institute;2024-10
3. A noise‐tolerant fuzzy‐type zeroing neural network for robust synchronization of chaotic systems;Concurrency and Computation: Practice and Experience;2024-07-09
4. Fixed-time solution of inequality constrained time-varying linear systems via zeroing neural networks;Journal of the Franklin Institute;2024-06
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