
Mathematical Biosciences and Engineering, 2019, 16(5): 49364946. doi: 10.3934/mbe.2019249.
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Sufficient and necessary conditions for global attractivity and stability of a class of discrete Hopfieldtype neural networks with time delays
1 Department of Applied Mathematics, School of Mathematics and Physics, University of Science and Technology Beijing, Beijing 100083, China
2 Beijing Key Laboratory for MagnetoPhotoelectrical Composite and Interface Science, University of Science and Technology Beijing, Beijing 100083, P.R. China
Received: , Accepted: , Published:
Special Issues: Mathematical Modeling to Solve the Problems in Life Sciences
Keywords: Hopfield neural networks; time delays; global attractivity; stability; difference equation
Citation: Yanjie Hong, Wanbiao Ma. Sufficient and necessary conditions for global attractivity and stability of a class of discrete Hopfieldtype neural networks with time delays. Mathematical Biosciences and Engineering, 2019, 16(5): 49364946. doi: 10.3934/mbe.2019249
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