On Application of Kertesz Method for Exponential Estimation of Neural Network Model with Discrete Delays

Author:

Nakonechnyi O.,Martsenyuk V.,Sverstiuk A.

Publisher

Springer International Publishing

Reference22 articles.

1. Haykin, S.: Neural networks: a comprehensive foundation. Macmillan Coll Div (1994) [Online]. Available: https://www.amazon.com/Neural-Networks-Comprehensive-Simon-Haykin/dp/0023527617%3FSubscriptionId%3D0JYN1NVW651KCA56C102%26tag%3Dtechkie20%26linkCode%3Dxm2%26camp%3D2025%26creative%3D165953%26creativeASIN%3D0023527617

2. Ali, M.S., Balasubramaniam, P.: Global asymptotic stability of stochastic fuzzy cellular neural networks with multiple discrete and distributed time-varying delays. Commun. Nonlinear Sci. Numer. Simul. 16(7), 2907–2916 (2011). https://doi.org/10.1016/j.cnsns.2010.011 [Online]. Available: http://dx.doi.org/10.1016/j.cnsns.2010.10.011

3. Wang, H., Yu, Y., Wen, G., Zhang, S., Yu, J.: Global stability analysis of fractional-order hopfield neural networks with time delay. Neurocomputing 154, 15–23 (2015). https://doi.org/10.1016/j.neucom.2014.12.031 [Online]. Available: http://dx.doi.org/10.1016/j.neucom.2014.12.031

4. Ali, M.S. Arik, S., Saravanakumar, R.: Delay-dependent stability criteria of uncertain markovian jump neural networks with discrete interval and distributed time-varying delays. Neurocomputing 158, 167–173 (2015). https://doi.org/10.1016/j.neucom.2015.01.056 [Online]. Available: http://dx.doi.org/10.1016/j.neucom.2015.01.056

5. Ali, M.S.: Robust stability of stochastic uncertain recurrent neural networks with markovian jumping parameters and time-varying delays. Int. J. Mach. Learn. Cybern. 5(1), 13–22 (2012). https://doi.org/10.1007/s13042-012-0124-6 [Online]. Available: http://dx.doi.org/10.1007/s13042-012-0124-6

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