AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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A novel large-scale delayed neural network with dual-star architecture, incorporating both second-order and third-order interactions, and the accurate function fitting achieved by the model provides new insights for the design and control of neural networks.
A novel Koopman operator‐based framework that integrates deep neural networks with subspace identification that achieves high modeling accuracy with significantly reduced errors is proposed, offering an effective and robust solution for nonlinear system modeling.
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