References
- Arik, S. 2004. “An Analysis of Exponential Stability of Delayed Neural Networks with Time Varying Delays.” Neural Networks 17: 1027–1031.
- Bao, H., and J. Cao. 2011. “Delay-distribution-dependent State Estimation for Discrete-time Stochastic Neural Networks with Random Delay.” Neural Networks 24 (1): 19–28.
- Cao, J., K. Yuan, and H. Li. 2006. “Global Asymptotical Stability of Generalized Recurrent Neural Networks with Multiple Discrete Delays and Distributed Delays.” IEEE Transactions on Neural Networks 17 (6): 1646–1651.
- Chen, H., Y. Hung, C. Chen, T. Li, and C. Chen. 2006. “Image-processing Algorithms Realized by Discrete-time Cellular Neural Networks and their Circuit Implementations.” Chaos, Solitons and Fractals 29 (5): 1100–1108.
- Chua, L. 1971. “Memristor – The Missing Circuit Element.” IEEE Transactions on Circuit Theory 18 (5): 507–519.
- Ding, D., Z. Wang, H. Dong, and H. Shu. 2012. “Distributed H∞ State Estimation with Stochastic Parameters and Nonlinearities through Sensor Networks: The Finite-horizon Case.” Automatica 48 (8): 1575–1585.
- Huang, G., and J. Cao. 2010. “Delay-dependent Multistability in Recurrent Neural Networks.” Neural Networks 23 (2): 201–209.
- Huang, H., G. Feng, and J. Cao. 2010. “State Estimation for Static Neural Networks with Time-varying Delay.” Neural Networks 23: 1202–1207.
- Kan, X., H. Shu, and Z. Li. 2014. “Robust State Estimation for Discrete-time Neural Networks with Mixed Time-delays, Linear Fractional Uncertainties and Successive Packet Dropouts.” Neurocomputing 135: 130–138.
- Lian, J., and J. Wang. 2015. “Passivity of Switched Recurrent Neural Networks with Time-varying Delays.” IEEE Transactions on Neural Networks and Learning Systems 26 (2): 357–366.
- Liang, J., and J. Cao. 2003. “Boundedness and Stability for Recurrent Neural Networks with Variable Coefficients and Time-varying Delays.” Physics Letters A 318 (1–2): 53–64.
- Liang, J., Z. Wang, and X. Liu. 2009. “State Estimation for Coupled Uncertain Stochastic Networks with Missing Measurements and Time-varying Delays: The Discrete-time Case.” IEEE Transactions on Neural Networks 20 (5): 781–793.
- Liu, Y., Z. Wang, and X. Liu. 2006. “Global Exponential Stability of Generalized Recurrent Neural Networks with Discrete and Distributed Delays.” Neural Networks 19 (5): 667–675.
- Nasrabadi, N., and W. Li. 1991. “Object Recognition by a Hopfield Neural Network.” IEEE Transactions on Systems Man and Cybernetics 21 (6): 1523–1535.
- Shen, B., Z. Wang, D. Ding, and H. Shu. 2013. “H∞ State Estimation for Complex Networks with Uncertain Inner Coupling and Incomplete Measurements.” IEEE Transactions on Neural Networks and Learning Systems 24 (12): 2027–2037.
- Wu, A., and Z. Zeng. 2013. “Anti-synchronization Control of a Class of Memristive Recurrent Neural Networks.” Communications in Nonlinear Science and Numerical Simulation 18: 373–385.
- Xia, Y., and J. Wang. 2004. “A General Projection Neural Network for Solving Monotone Variational Inequalities and Related Optimization Problems.” IEEE Transactions on Neural Networks 15 (2): 318–328.
- Zeng, Z., and J. Wang. 2006. “Global Exponential Stability of Recurrent Neural Networks with Time-varying Delays in the Presence of Strong External Stimuli.” Neural Networks 19 (10): 1528–1537.
- Zhang, G., Y. Shen, Q. Yin, and J. Sun. 2013. “Global Exponential Periodicity and Stability of a Class of Memristor-based Recurrent Neural Networks with Multiple Delays.” Information Sciences 232: 386–396.
- Zhang, G., T. Wang, T. Li, and S. Fei. 2013. “Delay-derivative-dependent Stability Criterion for Neural Networks with Probabilistic Time-varying Delay.” International Journal of Systems Science 44 (11): 2140–2151.
- Zhang, Y., X. Xu, and Z. Zeng. 2009. “Novel Robust Stability Criteria of Discrete-time Stochastic Recurrent Neural Networks with Time Delay.” Neurocomputing 72: 3343–3351.