Encoding–decoding-based secure filtering for neural networks under mixed attacks

This paper is concerned with the set-membership filtering issue for a class of artificial neural networks subject to mixed attacks. The encoding–decoding communication mechanism is adopted in the processing of data sharing between neurons. During the information exchanges among neurons, both injecti...

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Vydané v:	Neurocomputing (Amsterdam) Ročník 508; s. 71 - 78
Hlavní autori:	Yi, Xiaojian, Yu, Huiyang, Wang, Pengxiang, Liu, Shulin, Ma, Lifeng
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 07.10.2022
Predmet:	Cyber-attacks Encoding–decoding mechanism Neural networks Set-membership filtering Set-membership filtering Encoding–decoding mechanism Cyber-attacks Neural networks
ISSN:	0925-2312, 1872-8286
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