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1. Full Text Existence and global exponential stability of equilibrium for discrete-time fuzzy BAM neural networks with variable delays and impulses
by Li, Yongkun and Wang, Chao
Fuzzy sets and systems, ISSN 0165-0114, 04/2013, Volume 217, pp. 62 - 79
Impulses | Global exponential stability | Discrete-time fuzzy BAM neural networks | Equilibrium point | Statistics & Probability | Physical Sciences | Technology | Computer Science | Computer Science, Theory & Methods | Mathematics | Mathematics, Applied | Science & Technology | Neural networks
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2. Full Text Existence and exponential stability of an equilibrium point for fuzzy BAM neural networks with time-varying delays in leakage terms on time scales
by Li, Yongkun and Yang, Li and Sun, Lijie
Advances in difference equations, ISSN 1687-1839, 12/2013, Volume 2013, Issue 1, pp. 1 - 16
Ordinary Differential Equations | leakage terms | time scales | Functional Analysis | Analysis | Difference and Functional Equations | Mathematics, general | Mathematics | fuzzy BAM neural networks | Partial Differential Equations | exponential stability | Fuzzy BAM neural networks | Leakage terms | Exponential stability | Time scales | Physical Sciences | Mathematics, Applied | Science & Technology | Discrete-time systems | Fuzzy logic | Technology application | Usage | Innovations | Functions, Exponential | Fixed point theory | Fuzzy algorithms | Fuzzy systems
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3. Full Text Global exponential stability of Markovian jumping stochastic impulsive uncertain BAM neural networks with leakage, mixed time delays, and α-inverse Hölder activation functions
by Maharajan, C and Raja, R and Cao, Jinde and Ravi, G and Rajchakit, G
Advances in difference equations, ISSN 1687-1839, 12/2018, Volume 2018, Issue 1, pp. 1 - 31
Discrete time neural networks | Markovian jumping systems | Leakage delay | Passivity and stability analysis | LMIs | Mathematics | Bidirectional associative memory | Ordinary Differential Equations | Functional Analysis | Analysis | Difference and Functional Equations | Mathematics, general | Partial Differential Equations | Physical Sciences | Mathematics, Applied | Science & Technology | Leakage | Economic models | Recurrent neural networks | Robustness (mathematics) | Computer simulation | Mathematical analysis | Neural networks | Markov processes | Passivity | Matrix methods | Research
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4. Full Text Enhanced robust finite-time passivity for Markovian jumping discrete-time BAM neural networks with leakage delay
by Sowmiya, C and Raja, R and Cao, Jinde and Rajchakit, G and Alsaedi, Ahmed
Advances in difference equations, ISSN 1687-1839, 12/2017, Volume 2017, Issue 1, pp. 1 - 28
leakage delay | Markovian jumping systems | bidirectional associative memory | LMIs | Mathematics | Ordinary Differential Equations | Functional Analysis | Analysis | Difference and Functional Equations | Mathematics, general | discrete-time neural networks | Partial Differential Equations | passivity and stability analysis | Physical Sciences | Mathematics, Applied | Science & Technology | Markov processes | Theorems (Mathematics) | Usage | Difference equations | Neural networks | Leakage | Recurrent neural networks | Robustness (mathematics) | Computer simulation | Mathematical analysis | Linear matrix inequalities | Passivity | Matrix methods | Delay | Research
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5. Full Text Passivity analysis for uncertain discrete-time stochastic BAM neural networks with time-varying delays
by Raja, R and Raja, U Karthik and Samidurai, R and Leelamani, A
Neural computing & applications, ISSN 0941-0643, 9/2014, Volume 25, Issue 3, pp. 751 - 766
Computational Biology/Bioinformatics | Lyapunov technique | Discrete-time stochastic BAM neural networks | Passivity analysis | Computer Science | Data Mining and Knowledge Discovery | Image Processing and Computer Vision | Artificial Intelligence (incl. Robotics) | Linear matrix inequality | Computational Science and Engineering | Probability and Statistics in Computer Science | Computer Science, Artificial Intelligence | Technology | Science & Technology | Applied sciences | Connectionism. Neural networks | Artificial intelligence | Exact sciences and technology | Computer science; control theory; systems | Neural networks | Analysis
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6. Full Text Global Asymptotic Stability of Periodic Solutions for Discrete Time Delayed BAM Neural Networks by Combining Coincidence Degree Theory with LMI Method
by Ren, Ling and Ren, Ling and Yi, Xuejun and Yi, Xuejun and Zhang, Zhengqiu and Zhang, Zhengqiu
Neural processing letters, ISSN 1370-4621, 10/2019, Volume 50, Issue 2, pp. 1321 - 1340
Computational Intelligence | Mawhin’s continuation theorem | Periodic solutions | Artificial Intelligence | Complex Systems | Computer Science | Delayed discrete-time BAM neural networks | Global asymptotic stability | Linear matrix inequality | Computer Science, Artificial Intelligence | Technology | Science & Technology | Neural networks | Methods | Time dependence | Recurrent neural networks | Stability | Asymptotic properties | Mathematical analysis | Control systems | Linear matrix inequalities | Matrix methods | Time lag | Mathematicians
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7. Full Text The exponential stability of BAM neural networks with leakage time-varying delays and sampled-data state feedback input
by Li, Li and Yang, Yongqing and Liang, Tian and Hu, Manfeng
Advances in difference equations, ISSN 1687-1839, 2014, Volume 2014, Issue 1, p. 39
Bam neural networks | Sampled data | Leakage delays | Physical Sciences | Mathematics | Mathematics, Applied | Science & Technology | Discrete-time systems | Usage | Stability | Neural networks | Analysis
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8. Full Text Robust exponential stability for discrete‐time interval BAM neural networks with delays and Markovian jump parameters
by Qiu, Jiqing and Lu, Kunfeng and Shi, Peng and Mahmoud, Magdi S
International journal of adaptive control and signal processing, ISSN 0890-6327, 09/2010, Volume 24, Issue 9, pp. 760 - 785
robust exponential stability | discrete‐time system | BAM neural network | Markovian jumping system | mode‐dependent time delays | Discrete-time system | Mode-dependent time delays | Robust exponential stability | Engineering, Electrical & Electronic | Engineering | Automation & Control Systems | Technology | Science & Technology
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9. Existence and stability analysis of discrete-time fuzzy BAM neural networks with delays and impulses
by Wang, Chao and Li, Yongkun
International Journal of Computational and Mathematical Sciences, ISSN 2010-3905, 01/2012, Volume 6, Issue 1, pp. 47 - 56
Global exponential stability | Impulses | Discrete-time fuzzy BAM neural networks | Global asymptotical stability | Equilibrium point
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10. Existence and stability analysis of discrete-time fuzzy BAM neural networks with delays and impulses
by Wang, Chao and Li, Yongkun
World academy of science, engineering and technology, ISSN 2010-376X, 07/2011, Volume 55, pp. 1122 - 1131
Global exponential stability | Impulses | Discrete-time fuzzy BAM neural networks | Global asymptotical stability | Equilibrium point
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11. Full Text Exponential stability of T-S fuzzy stochastic discrete-time BAM networks with delays
by Jun Xing and Xiqin He and Daqing Zhang
2012 International Conference on System Science and Engineering (ICSSE), ISSN 2325-0909, 06/2012, pp. 276 - 281
Stability criteria | BAM neural network | Stochastic processes | Lyapunov-Krasovskii functional | Discrete-time | Exponential stability | Biological neural networks | Delay | Numerical stability
Conference Proceeding
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12. Full Text Passivity Analysis for Uncertain BAM Neural Networks with Leakage, Discrete and Distributed Delays Using Novel Summation Inequality
by Chandran, Sowmiya and Ramachandran, Raja and Cao, Jinde and Agarwal, Ravi P and Rajchakit, Grienggrai
International journal of control, automation, and systems, ISSN 1598-6446, 8/2019, Volume 17, Issue 8, pp. 2114 - 2124
leakage delay | Engineering | time-varying delay | Control, Robotics, Mechatronics | BAM neural networks | summation inequality | mixed delay | passivity | linear matrix inequality | uncertain | Technology | Automation & Control Systems | Science & Technology | Neural networks | Analysis | Equality | Leakage | Recurrent neural networks | Mathematical analysis | Upper bounds | Discrete time systems | Linear matrix inequalities | Passivity | Uncertainty analysis | Matrix methods | Time lag | Inequality | 제어계측공학
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13. Full Text Pseudo almost periodic synchronization of Clifford-valued fuzzy cellular neural networks with time-varying delays on time scales
by Li, Yongkun and Shen, Shiping
Advances in difference equations, ISSN 1687-1839, 12/2020, Volume 2020, Issue 1, pp. 1 - 22
Time scale | Pseudo almost periodic synchronization | Clifford-valued fuzzy cellular neural network | Global exponential synchronization | Physical Sciences | Mathematics | Mathematics, Applied | Science & Technology | Fuzzy logic | Fixed points (mathematics) | Cellular communication | Neural networks | Existence theorems | Discrete time systems | Synchronism | Artificial neural networks | Time | Feedback control | Time synchronization | Cellular structure
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14. Full Text A study on state estimation for discrete-time recurrent neural networks with leakage delay and time-varying delay
by Qiu, Sai-Bing and Liu, Xin-Ge and Shu, Yan-Jun
Advances in difference equations, ISSN 1687-1839, 12/2016, Volume 2016, Issue 1, pp. 1 - 18
leakage delay | state estimation | discrete-time | stability | Physical Sciences | Mathematics | Mathematics, Applied | Science & Technology | Leakage | Design engineering | Recurrent neural networks | Computer simulation | Mathematical models | State estimation | Estimators | Delay
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15. Full Text Synchronization of nonidentical chaotic neural networks with leakage delay and mixed time-varying delays
by Song, Qiankun and Cao, Jinde
Advances in difference equations, ISSN 1687-1839, 12/2011, Volume 2011, Issue 1, pp. 1 - 17
Chaotic neural network | Leakage delay | Ordinary Differential Equations | Functional Analysis | Distributed time-varying delays | Analysis | Difference and Functional Equations | Discrete time-varying delays | Mathematics, general | Mathematics | Synchronization | Partial Differential Equations | Distributed time-varying delays 05.45.Xt 05.45.Gg | Physical Sciences | Mathematics, Applied | Science & Technology | Liapunov functions | Usage | Distributed processing (Computers) | Chaos synchronization | Simulation methods | Leakage | Computer simulation | Neural networks | Chaos theory | Synchronism | Sliding mode control | Delay
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