Dynamical analysis of fractional-order fully complex-valued uncertain competitive neural networks and its application in image privacy protection | Synapse
March 3, 2026
Dynamical analysis of fractional-order fully complex-valued uncertain competitive neural networks and its application in image privacy protection
Key Points
Image privacy protection can be enhanced using fractional-order neural networks with complex-valued dynamics.
The study shows that uncertain dynamics in competitive networks improve performance in maintaining privacy.
Analysis of dynamical behavior provides insights into system stability and response under varied conditions.
Signal processing techniques for image privacy were tested using complex-valued and fractional-order systems.