2007
DOI: 10.1016/j.physleta.2006.12.013
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Periodic oscillation for a Hopfield neural networks with neutral delays

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Cited by 46 publications
(25 citation statements)
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“…The authors ( [5,12]) investigated the following neutral-type neural systems: (x i ) (t) = −a i (t)x i (t) + n j=1 [b ij (t)f j (t, x j (t)) + d ij (t)g j (t, x j (t − τ ij (t)))] + I i (t), x i (t) = φ i (t), t ∈ [−τ, 0], i = 1, 2, · · · , n, and y (t) = −Ay(t) + Bg(y(t)) + Cg(y(t − τ(t))) + Dy (t − h(t)), t = t k , ∆y(t) = I k (y(t)), t = t k , y(t + 0 + s) = φ(s), s ∈ [t 0 − ρ, t 0 ], k ∈ N. More detailed results on neural networks could be found in [11,14,17] and the references therein.…”
Section: X(t) = E(r(t))ẋ(t − τ 1r(t) ) − A(r(t))x(t) − B(r(t))f(x(t))mentioning
confidence: 99%
See 1 more Smart Citation
“…The authors ( [5,12]) investigated the following neutral-type neural systems: (x i ) (t) = −a i (t)x i (t) + n j=1 [b ij (t)f j (t, x j (t)) + d ij (t)g j (t, x j (t − τ ij (t)))] + I i (t), x i (t) = φ i (t), t ∈ [−τ, 0], i = 1, 2, · · · , n, and y (t) = −Ay(t) + Bg(y(t)) + Cg(y(t − τ(t))) + Dy (t − h(t)), t = t k , ∆y(t) = I k (y(t)), t = t k , y(t + 0 + s) = φ(s), s ∈ [t 0 − ρ, t 0 ], k ∈ N. More detailed results on neural networks could be found in [11,14,17] and the references therein.…”
Section: X(t) = E(r(t))ẋ(t − τ 1r(t) ) − A(r(t))x(t) − B(r(t))f(x(t))mentioning
confidence: 99%
“…3) is changed into a non-neutral-type discrete neural networks which has been extensively studied, see, e.g., [1,3,5,9,10,14,16,18].…”
Section: Problem Formulationmentioning
confidence: 99%
“…NFDEs are not only an extension of functional differential equations, but also provide good models in many fields including biology, electronics, mechanics and economics. In practice, a large class of electrical networks containing lossless transmission lines such as automatic control, high speed computers, robotics and etc., these systems can be well described by neutral-type delayed differential equations, see e. g. [7,22,29,30]. Particularly, we note that the time-delays occur not only in the system states (or outputs) but also in the derivatives of system states in engineering systems DOI: 10.14736/kyb-2017-3-0513 [27].…”
Section: Introductionmentioning
confidence: 99%
“…The neural network model (2.1) shows the neutral character by the D operator, which is different from other papers. For example, in [7] and [31], the authors studied the following neutral type neural system respectively,…”
Section: Introductionmentioning
confidence: 99%
“…DNNs of neutral type are new and more general than DNNs. So far, there are only a few papers that have taken neutral-type phenomenon into account in DNNs; see, for example [8][9][10][11][12][13][14][15][16][17].…”
Section: Introductionmentioning
confidence: 99%