2020
DOI: 10.1016/j.neucom.2020.07.035
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Almost automorphic solutions for Clifford-valued neutral-type fuzzy cellular neural networks with leakage delays on time scales

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Cited by 22 publications
(7 citation statements)
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“…In fact, in this case, x is a compact almost automorphic function because the necessary and sufficient condition for an almost automorphic function to be compact almost automorphic is that it is uniformly continuous. The similar conclusion on time scales is also obtained in [21]. But here we want to point out that Lemma 5 of [18] does not hold for the case of pseudo almost automorphic functions.…”
supporting
confidence: 68%
“…In fact, in this case, x is a compact almost automorphic function because the necessary and sufficient condition for an almost automorphic function to be compact almost automorphic is that it is uniformly continuous. The similar conclusion on time scales is also obtained in [21]. But here we want to point out that Lemma 5 of [18] does not hold for the case of pseudo almost automorphic functions.…”
supporting
confidence: 68%
“…Over the last few years, cellular neural networks (CNNs) proposed by Chua and Yang (1988) have received extensive attention and research in various fields (see Deng et al, 2021; Duan et al, 2019b; Li and Shen, 2020a). Also, in the realization of neural networks (NNs), the existence of uncertainty or ambiguity cannot be ignored.…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, it is necessary to study the dynamics characteristics of neutral-type neural networks. At present, some progress has been made on the research of the dynamical behaviors for quaternion-valued neutral-type neural networks (QVNTNNs) [30][31][32][33][34]. For example, Li and Shen [32] have studied the dynamic behaviors of neutral-type fuzzy cellular neural networks model on the basis of time scales.…”
Section: Introductionmentioning
confidence: 99%
“…At present, some progress has been made on the research of the dynamical behaviors for quaternion-valued neutral-type neural networks (QVNTNNs) [30][31][32][33][34]. For example, Li and Shen [32] have studied the dynamic behaviors of neutral-type fuzzy cellular neural networks model on the basis of time scales. Li successfully explored the almost periodic solution of QVNTNNs through employing the methods such as fixed point theorem and other technologies in earlier studies [33,34].…”
Section: Introductionmentioning
confidence: 99%