Polynomial dissipativity of proportional delayed BAM neural networks
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Title
Polynomial dissipativity of proportional delayed BAM neural networks
Authors
Keywords
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Journal
International Journal of Biomathematics
Volume -, Issue -, Pages 2050050
Publisher
World Scientific Pub Co Pte Lt
Online
2020-07-15
DOI
10.1142/s1793524520500503
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- (2019) Swati Tyagi et al. FUZZY SETS AND SYSTEMS
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- (2018) Lijuan Su et al. NEURAL COMPUTING & APPLICATIONS
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- (2018) Le Van Hien et al. IEEE Transactions on Neural Networks and Learning Systems
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- (2018) Ning Li et al. NEUROCOMPUTING
- Finite-time Projective Synchronization of Memristor-based BAM Neural Networks and Applications in Image Encryption
- (2018) Weiping Wang et al. IEEE Access
- Finite-time and fixed-time synchronization of a class of inertial neural networks with multi-proportional delays and its application to secure communication
- (2018) Adel M. Alimi et al. NEUROCOMPUTING
- A weak Galerkin finite element method for Burgers’ equation
- (2018) Yanli Chen et al. JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS
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- (2017) Liqun Zhou et al. NEUROCOMPUTING
- Passivity of memristor-based recurrent neural networks with multi-proportional delays
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- (2016) Liqun Zhou et al. JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
- Global exponential stability for interval general bidirectional associative memory (BAM) neural networks with proportional delays
- (2016) Changjin Xu et al. MATHEMATICAL METHODS IN THE APPLIED SCIENCES
- New exponential passivity of BAM neural networks with time-varying delays
- (2016) J. Thipcha et al. NEURAL COMPUTING & APPLICATIONS
- Global exponential convergence of non-autonomous cellular neural networks with multi-proportional delays
- (2016) Bingwen Liu NEUROCOMPUTING
- Global dissipativity of a class of BAM neural networks with both time-varying and continuously distributed delays
- (2015) Lisha Wang et al. NEUROCOMPUTING
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- Dissipative dynamics of a particle in a vibrating periodic potential: Chaos and control
- (2015) R. Chacón et al. PHYSICAL REVIEW E
- Global exponential stability of cellular neural networks with multi-proportional delays
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- Global dissipativity of a class of BAM neural networks with time-varying and unbound delays
- (2013) Zhengwen Tu et al. Communications in Nonlinear Science and Numerical Simulation
- Functional differential inclusions and dynamic behaviors for memristor-based BAM neural networks with time-varying delays
- (2013) Zuowei Cai et al. Communications in Nonlinear Science and Numerical Simulation
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