Existence, uniqueness, and exponential stability analysis for complex-valued memristor-based BAM neural networks with time delays
Authors:
- Runan GuoRGRunan Guo
- Ziye ZhangZZZiye Zhang
- Xiaoping LiuXLXiaoping Liu
- Chong LinCLChong Lin
- 1 October 2017
- journal article
- Published by Elsevier in Applied Mathematics and Computation
- Vol. 311, 100-117
Abstract
No abstract availableThis publication has 54 references indexed in Scilit:
- Passivity analysis of memristive neural networks with different memductance functionsCommunications in Nonlinear Science and Numerical Simulation, 2014
- Stability criteria for BAM neural networks with leakage delays and probabilistic time-varying delaysApplied Mathematics and Computation, 2013
- Dynamic behaviors of memristor-based recurrent neural networks with time-varying delaysNeural Networks, 2012
- The missing memristor foundNature, 2008
- The fourth elementNature, 2008
- GLOBAL DYNAMICS OF A CLASS OF COMPLEX VALUED NEURAL NETWORKSInternational Journal of Neural Systems, 2008
- Leakage delays in BAMJournal of Mathematical Analysis and Applications, 2007
- Solving the XOR problem and the detection of symmetry using a single complex-valued neuronNeural Networks, 2003
- Improving the capacity of complex-valued neural networks with a modified gradient descent learning ruleIEEE Transactions on Neural Networks, 2001
- Adaptive bidirectional associative memoriesApplied Optics, 1987