Artificial neural networks
Research from Yantai University Explores Novel Synchronization Behavior in Delayed Fractional-Order Neural Networks
Researchers from Yantai University have made a significant discovery in the field of thermodynamics, investigating the synchronization control problem for delayed fractional-order neural networks (DFONNs) with mismatched parameters. According to a new report, the study proposes a novel synchronization behavior termed quasi-Mittag-Leffler projective synchronization (QMLPS), which offers a more general