Existence and global exponential stability of a periodic solution to interval general bidirectional associative memory (BAM) neural networks with multiple delays on time scales.
basic_science · Level V
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- Record sourced from PubMed, PMID 21377834.
- Also identified by DOI 10.1016/j.neunet.2011.02.001.
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Abstract
In this paper, we first investigate the existence of a periodic solution to interval general bidirectional associative memory (BAM) neural networks with multiple delays on time scales by the continuation theorem of coincidence degree theory. Then, by constructing a Lyapunov functional, we discuss the global exponential stability of the periodic solution for such neural networks on time scales. The paper unifies periodic discrete-time and continuous-time BAM neural networks under the same framework.
Medical subject headings
- Artificial Intelligence
- Computer Simulation
- Memory
- Neural Networks, Computer