A Fixed-Time Noise-Tolerance Neurodynamic Approach for Inverse Variational Inequalities
Author:
Affiliation:
1. College of Electronics and Information Engineering, Sichuan University, Chengdu, China
2. School of Mathematics, Frontiers Science Center for Mobile Information Communication and Security, Southeast University, Nanjing, China
Funder
Central Guiding Local Science and Technology Development Special Project of Sichuan
Fundamental Research Funds for Central Universities
Sichuan Province Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/8920/10349118/10155326.pdf?arnumber=10155326
Reference22 articles.
1. Solving a class of constrained ‘black-box’ inverse variational inequalities
2. Tikhonov type regularization methods for inverse mixed variational inequalities
3. A Two-Layer Distributed Algorithm Using Neurodynamic System for Solving L 1-Minimization
4. An Efficient Neural Network Model for Solving the Absolute Value Equations
5. Minimax and Biobjective Portfolio Selection Based on Collaborative Neurodynamic Optimization
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