C 1-Almost Periodic Solutions of BAM Neural Networks with Time-Varying Delays on Time Scales
On a new type of almost periodic time scales, a class of BAM neural networks is considered. By employing a fixed point theorem and differential inequality techniques, some sufficient conditions ensuring the existence and global exponential stability of C 1-almost periodic solutions for this class of...
| Main Authors: | , , |
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| Format: | Online |
| Language: | English |
| Published: |
Hindawi Publishing Corporation
2015
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| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4313527/ |
| Summary: | On a new type of almost periodic time scales, a class of BAM neural networks is considered. By employing a fixed point theorem and differential inequality techniques,
some sufficient conditions ensuring the existence and global exponential stability of C
1-almost periodic solutions for this class of networks with time-varying delays are established. Two examples are given to show the effectiveness of the proposed method and results. |
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