A Comprehensive Review of Stability Analysis of Continuous-Time Recurrent Neural Networks

By Huaguang Zhang, Zhanshan Wang, Derong Liu. IEEE Transactions on Neural Networks and Learning Systems, 2014

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CNN-RNN Based Intelligent Recommendation for Online Medical Pre-Diagnosis Support (2020, methodology): “To make sense of usage of RNN for stability theory and problems, Zhang et al. [29] conducted a literature survey based on different types of RNNs, which indicated several potential and promising directions in the real-valued continuous-time domain.”
Combining Recurrent, Convolutional, and Continuous-time Models with Linear State-Space Layers (2021, background): “Modern treatments have focused on analyzing the stability [62] and dynamics [29] of RNNs.”
Attractor and integrator networks in the brain (2021, background): “[35] Huaguang Zhang, Zhanshan Wang, and Derong Liu.”
A Survey on Deep Learning for Multimodal Data Fusion (2020, background): “Recurrentneuralnetwork RNN (Zhang et al., 2014) A fully connected network where the self-connection between hidden layers is used to model the time dependency.”
Observer-Based Non-PDC Control for Networked T–S Fuzzy Systems With an Event-Triggered Communication (2017, background): “Recently, rapidly growing attention has been witnessed in the research of networked control systems (NCSs) [14], [15], in which the sensor-controller connects to the controlleractuator through a shared communication network [16], [17].”