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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…
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Keywords:
exponential input;
neural networks;
stochastic neural;
state stability ... See more keywords
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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…
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Keywords:
exponential input;
neural networks;
bam neural;
state stability ... See more keywords
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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…
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Keywords:
pth moment;
non autonomous;
exponential input;
moment exponential ... See more keywords
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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…
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Keywords:
exponential input;
diffusion;
input;
state stability ... See more keywords