scholarly journals Noise-tolerant Audio-visual Online Person Verification Using an Attention-based Neural Network Fusion

2019 ◽  
Author(s):  
Suwon Shon ◽  
Tae-Hyun Oh ◽  
James Glass
Keyword(s):  
Neural Network ◽  
Noise Tolerant ◽  
Person Verification

A multimodal-Siamese Neural Network (mSNN) for person verification using signatures and EEG

2021 ◽  
Vol 71 ◽  
pp. 17-27
Author(s):  
Debashis Das Chakladar ◽  
Pradeep Kumar ◽  
Partha Pratim Roy ◽  
Debi Prosad Dogra ◽  
Erik Scheme ◽  
...  
Keyword(s):  
Neural Network ◽  
Person Verification

scholarly journals Noise-Tolerant Zeroing Neural Network for Solving Non-Stationary Lyapunov Equation

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 41517-41524 ◽  
Author(s):  
Jingkun Yan ◽  
Xiuchun Xiao ◽  
Hongxin Li ◽  
Jiliang Zhang ◽  
Jingwen Yan ◽  
...  
Keyword(s):  
Neural Network ◽  
Lyapunov Equation ◽  
Noise Tolerant

Discrete-time noise-tolerant Zhang neural network for dynamic matrix pseudoinversion

2018 ◽  
Vol 23 (3) ◽  
pp. 755-766 ◽  
Author(s):  
Qiuhong Xiang ◽  
Bolin Liao ◽  
Lin Xiao ◽  
Long Lin ◽  
Shuai Li
Keyword(s):  
Neural Network ◽  
Discrete Time ◽  
Dynamic Matrix ◽  
Zhang Neural Network ◽  
Noise Tolerant

scholarly journals A varying-gain ZNN model with fixed-time convergence and noise-tolerant performance for time-varying linear equation and inequality systems

2021 ◽  
Author(s):  
Miaomiao Zhang
Keyword(s):  
Neural Network ◽  
Linear Equation ◽  
Design Parameter ◽  
Nonlinear Function ◽  
Fixed Time ◽  
Time Varying ◽  
Bounded Noise ◽  
Inequality Systems ◽  
Zhang Neural Network ◽  
Noise Tolerant

<div>In this paper, a varying-gain zeroing (or Zhang) neural network (VG-ZNN) is proposed to obtain the online solution of the time-varying linear equation and inequality system. Distinguished from the fixed-value design parameter in</div><div>the original zeroing (or Zhang) neural network (ZNN) models, the design parameter of the VG-ZNN model is a nonlinear function that changes with time. The VG-ZNN model composed of the new time-varying design parameter we proposed can achieve fixed-time convergence and tolerate time-varying bounded noise and time-varying derivable noise. The theoretical detailed analysis of the convergence and robustness of the VG-ZNN model are given.</div>

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