A New Parameter-Changing Integral ZNN Model With Nonlinear Activation for Solving Inequality Constraint Time-Varying Quadratic Programming
The conventional zeroing neural network (ZNN) model faces significant challenges in handling time-varying noise, with its convergence speed being highly sensitive to initial conditions. In this paper, we propose a new parameter-changing integral ZNN model with nonlinear activation (NAPCIZNN) to effe...
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| Main Authors: | Chongbiao Tang, Yongmei Ding |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10909440/ |
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