Synopsis
Introduction to Neural Networks.- Preliminaries on Dynamical Systems and Stability Theory.- Survey of Dynamics of Cohen-Grossberg Type RNNs.- Delay-partitioning-method Based Stability Result for RNNs.- Stability result on the static and vector field recurrent neural networks.- Stability Criteria for RNNs Based on Secondary Delay Partitioning.- LMI-based Stability Criteria for Static Neural Networks.- Multiple Stability for Discontinuous RNNs.- LMI-based Passibity Criteria for RNNs with Delays.- Dissipativity and Invariant Sets for Neural Networks with Delay.- Synchronization Stability in Complex Neural Networks.- Stabilization of Stochastic RNNs with Stochastic Delays.- Adaptive Synchronization of Complex Neural Networks
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