Neural Networks Stability and Synchronization
Neural Networks Stability and Synchronization is a research topic within Computer Networks and Communications. Science Explorer counts 22k research works in it since 1955. 9.8% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on the synchronization of complex dynamical networks, particularly addressing topics such as pinning control, global stability, time delays, impulsive control, and stochasticity in neural networks and memristor-based networks.
- Synchronization
- Complex Networks
- Dynamical Systems
- Pinning Control
- Global Stability
- Time Delays
- Neural Networks
- Impulsive Control
- Stochasticity
- Memristor-based Networks
- Research works
- 22k fractional, since 1955
- In the world top 10%
- 2.2k per year above
- Top-10% rate
- 9.8% share of its works in the world top 10%
- Growth, 2018-21 → 2022-25
- -7% the tick is no change
- Largest producer
China
81% of the 10 largest, 2022-now
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