Articles with "exponential input" as a keyword



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Exponential input-to-state stability of stochastic neural networks with mixed delays

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Published in 2018 at "International Journal of Machine Learning and Cybernetics"

DOI: 10.1007/s13042-016-0609-9

Abstract: This paper is concerned with the exponential input-to-state stability for a class of stochastic neural networks with mixed delays. Based on a new Lyapunov-Krasovskii functional, Itô’s formula, Dynkin’s formula and some inequality techniques, some novel… read more here.

Keywords: exponential input; neural networks; stochastic neural; state stability ... See more keywords
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Exponential input-to-state stability for complex-valued memristor-based BAM neural networks with multiple time-varying delays

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Published in 2018 at "Neurocomputing"

DOI: 10.1016/j.neucom.2017.10.038

Abstract: Abstract In this paper, the exponential input-to-state stability (ISS) for complex-valued memristor-based bidirectional associative memory (BAM) neural networks with multiple time-varying delays is discussed. By constructing a novel Lyapunov functional and utilizing inequality techniques, a… read more here.

Keywords: exponential input; neural networks; bam neural; state stability ... See more keywords
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Pth moment exponential input-to-state stability of non-autonomous delayed Cohen-Grossberg neural networks with Markovian switching

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Published in 2019 at "Neurocomputing"

DOI: 10.1016/j.neucom.2019.04.020

Abstract: Abstract This paper is corned with the pth moment exponential input-to-state stability for non-autonomous delayed Cohen–Grossberg neural networks with Markovian switching. By the generalized Ito’s formula and some analysis technique on time-varying coefficients, a vector… read more here.

Keywords: pth moment; non autonomous; exponential input; moment exponential ... See more keywords
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Exponential input-to-state stability of stochastic delay reaction-diffusion neural networks

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Published in 2020 at "Neurocomputing"

DOI: 10.1016/j.neucom.2019.09.118

Abstract: Abstract This paper considers the mean square exponential input-to-state stability (EISS) for stochastic delay reaction-diffusion neural networks (SDRDNNS). SDRDNNS with distributed input and boundary input are investigated. In addition, constant delay and time-varying delay are… read more here.

Keywords: exponential input; diffusion; input; state stability ... See more keywords