Learning Topology and Dynamics of Large Recurrent Neural Networks

5 Oct 2014 Yiyuan She Yuejia He Dapeng Wu

Large-scale recurrent networks have drawn increasing attention recently because of their capabilities in modeling a large variety of real-world phenomena and physical mechanisms. This paper studies how to identify all authentic connections and estimate system parameters of a recurrent network, given a sequence of node observations... (read more)

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