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Neural Networks 123 (2020) 362371Contents lists available at ScienceDirectNeural Networks journal homepage: www.elsevier.com/locate/neunetGlobal synchronization of coupled delayed permissive reaction
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Choose a neural network model that requires global synchronization for training.
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Neural networks global synchronization refers to the process of synchronizing all neural networks within a system to work together seamlessly.
Any organization or individual using neural networks within a system is required to file neural networks global synchronization.
Neural networks global synchronization can be filled out by ensuring all neural networks are properly connected and communicating with each other.
The purpose of neural networks global synchronization is to improve the efficiency and effectiveness of neural networks within a system.
Information such as network configurations, communication protocols, and synchronization methods must be reported on neural networks global synchronization.
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