A New Sufficient Condition for Global Robust Stability of Delayed Neural Networks
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Networks and Communications,General Neuroscience,Software
Link
http://link.springer.com/content/pdf/10.1007/s11063-011-9194-9.pdf
Reference22 articles.
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2. Shao JL, Huang TZ, Zhou S (2010) Some improved criteria for global robust exponential stability of neural networks with time-varying delays. Commun Nonlinear Sci Numer Simul 15: 3782–3794
3. Shao JL, Huang TZ, Zhou S (2009) An analysis on global robust exponential stability of neural networks with time-varying delays. Neurocomputing 72: 1993–1998
4. Senan S, Arik S (2009) New results for global robust stability of bidirectional associative memory neural networks with multiple time delays. Chaos Soliton Fract 41: 2106–2114
5. Mahmoud M (2009) Novel robust exponential stability criteria for neural networks. Neurocomputing 73: 331–335
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