Global exponential stability criteria for bidirectional associative memory neural networks with time-varying delays
The global exponential stability for bidirectional associative memory neural networks with time-varying delays is studied. In our study, the lower and upper bounds of the activation functions are allowed to be either positive, negative, or zero. By constructing new and improved Lyapunov-Krasovskii f...
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| Main Authors: | , |
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| Format: | Journal |
| Published: |
2018
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| Subjects: | |
| Online Access: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84879318346&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/52751 |
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| Institution: | Chiang Mai University |