Results 11 to 20 of about 8,474,325 (290)
A novel hybrid Zhang neural network model for time-varying matrix inversion
Engineering Science and Technology, an International Journal, 2022 A new hybrid Zhang neural network (HZNN) model is formulated to solve time-varying matrix inversion problem. The network is designed such that it encompasses the goodness of both gradient neural network (GNN) and Zhang neural network (ZNN). The stability
G. Sowmya, P. Thangavel, V. Shankar
doaj +4 more sources
Mathematics, 2022 Tracking control for multiple-integrator systems is regarded as a fundamental problem associated with nonlinear dynamic systems in the physical and mathematical sciences, with many applications in engineering fields.
Pengfei Guo, Yunong Zhang
doaj +2 more sources
General Six-Step Discrete-Time Zhang Neural Network for Time-Varying Tensor Absolute Value Equations
Discrete Dynamics in Nature and Society, 2019 This article presents a general six-step discrete-time Zhang neural network (ZNN) for time-varying tensor absolute value equations. Firstly, based on the Taylor expansion theory, we derive a general Zhang et al.
Min Sun, Jing Liu
doaj +4 more sources
A novel noise-tolerant Zhang neural network for time-varying Lyapunov equation [PDF]
Advances in Difference Equations, 2020 The Zhang neural network (ZNN) has become a benchmark solver for various time-varying problems solving. In this paper, leveraging a novel design formula, a noise-tolerant continuous-time ZNN (NTCTZNN) model is deliberately developed and analyzed for a ...
Min Sun, Jing Liu
doaj +2 more sources
Neural network ensemble operators for time series forecasting [PDF]
, 2014 The combination of forecasts resulting from an ensemble of neural networks has been shown to outperform the use of a single ``best'' network model.
Barrow, Devon K.; id_orcid +8 more
core +4 more sources
Experimental demonstration of adversarial examples in learning topological phases
Nature Communications, 2022 Machine learning has been applied to problems in condensed matter physics, but its performance in an experimental setting needs testing. Zhang et al. study the effects of adversarial perturbations on a neural-network-based topological phase classifier ...
Huili Zhang +9 more
doaj +1 more source
New Models for Solving Time-Varying LU Decomposition by Using ZNN Method and ZeaD Formulas
Journal of Mathematics, 2021 In this paper, by employing the Zhang neural network (ZNN) method, an effective continuous-time LU decomposition (CTLUD) model is firstly proposed, analyzed, and investigated for solving the time-varying LU decomposition problem.
Liangjie Ming +4 more
doaj +1 more source
An Extended TopoART Network for the Stable On-Line Learning of Regression Functions [PDF]
, 2011 Tscherepanow M. An Extended TopoART Network for the Stable On-Line Learning of Regression Functions. In: Lu B-L, Zhang L, Kwok J, eds. Neural Information Processing : 18th International Conference, ICONIP 2011, November 13-17, 2011, Proceedings, Part II.
Kwok, James +4 more
core +1 more source
The Energy Coding of a Structural Neural Network Based on the Hodgkin–Huxley Model
Frontiers in Neuroscience, 2018 Based on the Hodgkin-Huxley model, the present study established a fully connected structural neural network to simulate the neural activity and energy consumption of the network by neural energy coding theory. The numerical simulation result showed that
Zhenyu Zhu, Rubin Wang, Fengyun Zhu
doaj +1 more source