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Exponential Synchronization of Neural Networks With Discrete and Distributed Delays Under Time-Varying Sampling
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Exponential Synchronization of Neural Networks With Discrete and Distributed Delays Under Time-Varying Sampling

Wu, Zheng-Guang ; Shi, Peng ; Su, Hongye ; Chu, Jian

IEEE transaction on neural networks and learning systems, 2012-09, Vol.23 (9), p.1368-1376

New York, NY: IEEE

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Exponential Synchronization of Coupled Switched Neural Networks With Mode-Dependent Impulsive Effects
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Exponential Synchronization of Coupled Switched Neural Networks With Mode-Dependent Impulsive Effects

Zhang, Wenbing ; Tang, Yang ; Miao, Qingying ; Du, Wei

IEEE transaction on neural networks and learning systems, 2013-08, Vol.24 (8), p.1316-1326

New York, NY: IEEE

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3
Sampled-Data Exponential Synchronization of Complex Dynamical Networks With Time-Varying Coupling Delay
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Sampled-Data Exponential Synchronization of Complex Dynamical Networks With Time-Varying Coupling Delay

Wu, Zheng-Guang ; Shi, Peng ; Su, Hongye ; Chu, Jian

IEEE transaction on neural networks and learning systems, 2013-08, Vol.24 (8), p.1177-1187

New York, NY: IEEE

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Adaptive activation functions accelerate convergence in deep and physics-informed neural networks
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Adaptive activation functions accelerate convergence in deep and physics-informed neural networks

Jagtap, Ameya D. ; Kawaguchi, Kenji ; Karniadakis, George Em

Journal of computational physics, 2020-03, Vol.404 (C), p.109136, Article 109136 [Periódico revisado por pares]

Cambridge: Elsevier Inc

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5
Machine learning of linear differential equations using Gaussian processes
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Machine learning of linear differential equations using Gaussian processes

Raissi, Maziar ; Perdikaris, Paris ; Karniadakis, George Em

Journal of computational physics, 2017-11, Vol.348, p.683-693 [Periódico revisado por pares]

Cambridge: Elsevier Inc

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A review of predictive nonlinear theories for multiscale modeling of heterogeneous materials
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A review of predictive nonlinear theories for multiscale modeling of heterogeneous materials

Matouš, Karel ; Geers, Marc G.D. ; Kouznetsova, Varvara G. ; Gillman, Andrew

Journal of computational physics, 2017-02, Vol.330 (C), p.192-220 [Periódico revisado por pares]

Cambridge: Elsevier Inc

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Linear, first and second-order, unconditionally energy stable numerical schemes for the phase field model of homopolymer blends
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Linear, first and second-order, unconditionally energy stable numerical schemes for the phase field model of homopolymer blends

Yang, Xiaofeng

Journal of computational physics, 2016-12, Vol.327, p.294-316 [Periódico revisado por pares]

Cambridge: Elsevier Inc

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8
Contact-Force Distribution Optimization and Control for Quadruped Robots Using Both Gradient and Adaptive Neural Networks
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Contact-Force Distribution Optimization and Control for Quadruped Robots Using Both Gradient and Adaptive Neural Networks

Li, Zhijun ; Ge, Shuzhi Sam ; Liu, Sibang

IEEE transaction on neural networks and learning systems, 2014-08, Vol.25 (8), p.1460-1473

New York, NY: IEEE

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9
New Algebraic Criteria for Synchronization Stability of Chaotic Memristive Neural Networks With Time-Varying Delays
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New Algebraic Criteria for Synchronization Stability of Chaotic Memristive Neural Networks With Time-Varying Delays

Zhang, Guodong ; Shen, Yi

IEEE transaction on neural networks and learning systems, 2013-10, Vol.24 (10), p.1701-1707

New York, NY: IEEE

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10
Stability and Synchronization of Discrete-Time Neural Networks With Switching Parameters and Time-Varying Delays
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Stability and Synchronization of Discrete-Time Neural Networks With Switching Parameters and Time-Varying Delays

Ligang Wu ; Zhiguang Feng ; Lam, James

IEEE transaction on neural networks and learning systems, 2013-12, Vol.24 (12), p.1957-1972

New York, NY: IEEE

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