High-order absolutely stable neural networks
Author:
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering
Link
http://xplorestaging.ieee.org/ielx1/31/3158/00101303.pdf?arnumber=101303
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1. New Analysis Method for Global Exponential Stability of Discrete-Time High-Order Neural Networks with Time-Varying Delays: in Lagrange Sense and in Lyapunov Sense;2022 IEEE International Conference on Unmanned Systems (ICUS);2022-10-28
2. A New Neural ODE Structure for Learning High-Order Dynamical Systems;2022 17th Annual System of Systems Engineering Conference (SOSE);2022-06-07
3. Nonfragile Finite-Time Synchronization for Coupled Neural Networks With Impulsive Approach;IEEE Transactions on Neural Networks and Learning Systems;2020-11
4. Global exponential stability on anti-periodic solutions in proportional delayed HIHNNs;Journal of Experimental & Theoretical Artificial Intelligence;2020-02-04
5. Global Exponential Convergence of HCNNs with Neutral Type Proportional Delays and D Operator;Neural Processing Letters;2018-03-20
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