New studies on dynamic analysis of asymptotically almost periodic recurrent neural networks involving mixed delays
| Autor: | Zijun Ning, Yuehua Yu, Shuhua Gong |
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| Rok vydání: | 2018 |
| Předmět: |
Asymptotically almost periodicity
0209 industrial biotechnology Class (set theory) Algebra and Number Theory Partial differential equation lcsh:Mathematics Applied Mathematics Recurrent neural network 02 engineering and technology lcsh:QA1-939 Mixed delay 020901 industrial engineering & automation Ordinary differential equation 0202 electrical engineering electronic engineering information engineering Applied mathematics 020201 artificial intelligence & image processing Convergence Analysis Differential inequalities Mathematics |
| Zdroj: | Advances in Difference Equations, Vol 2018, Iss 1, Pp 1-15 (2018) |
| ISSN: | 1687-1847 |
| DOI: | 10.1186/s13662-018-1872-8 |
| Popis: | This paper studies a class of asymptotically almost periodic recurrent neural networks involving mixed delays. By utilizing differential inequality analysis, some novel assertions are gained to validate the asymptotically almost periodicity of the addressed model, which generalizes and refines some recent literature works. In the end, an example with its numerical simulations is carried out to validate the analytical results. |
| Databáze: | OpenAIRE |
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