Results 21 to 30 of about 8,474,325 (290)
Zhang Neural Networks for fast and accurate computations of the field of values [PDF]
Linear and Multilinear Algebra, 2019 In this paper a new and different neural network, called Zhang Neural Network (ZNN) is appropriated from discrete time-varying matrix problems and applied to the angle parameter-varying matrix field of values (FoV) problem. This problem acts as a test bed for newly discovered convergent 1-step ahead finite difference formulas of high truncation orders.
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Frontiers in Neurorobotics, 2017 To obtain the online solution of complex-valued systems of linear equation in complex domain with higher precision and higher convergence rate, a new neural network based on Zhang neural network (ZNN) is investigated in this paper. First, this new neural
Lei Ding +4 more
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IEEE Access, 2018 In this paper, an improved Zhang neural network (IZNN) is proposed by using a kind of novel nonlinear activation function to solve the complex-valued systems of linear equation.
Lei Ding +4 more
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A Neural Network for Moore–Penrose Inverse of Time-Varying Complex-Valued Matrices
International Journal of Computational Intelligence Systems, 2020 The Moore–Penrose inverse of a matrix plays a very important role in practical applications. In general, it is not easy to immediately solve the Moore–Penrose inverse of a matrix, especially for solving the Moore–Penrose inverse of a complex-valued ...
Yiyuan Chai +4 more
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IEEE Access, 2019 Complex-valued time-varying Sylvester equation (CVTVSE) has been successfully applied into mathematics and control domain. However, the computation load of solving CVTVSE will rise significantly with the increase of sampling rate, and it is a challenging
Lei Ding +5 more
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A Reduced-Order RNN Model for Solving Lyapunov Equation Based on Efficient Vectorization Method
Frontiers in Energy Research, 2022 With the trend of electronization of the power system, a traditional serial numerical algorithm is more and more difficult to adapt to the demand of real-time analysis of the power system.
Zhiying Chen +3 more
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SGD-SM 2.0: an improved seamless global daily soil moisture long-term dataset from 2002 to 2022 [PDF]
Earth System Science Data, 2022 The drawbacks of low-coverage rate in global land inevitably exist in satellite-based daily soil moisture products because of the satellite orbit covering scopes and the limitations of soil moisture retrieving models.
Q. Zhang +4 more
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Automated Construction of Neural Network Potential Energy Surface: The Enhanced Self-Organizing Incremental Neural Network Deep Potential Method [PDF]
, 2021 In recent years, the use of deep learning (neural network) potential energy surface (NNPES) in molecular dynamics simulation has experienced explosive growth as it can be as accurate as quantum chemistry methods while being as efficient as classical ...
John ZH, Zhang, Mingyuan, Xu, Tong, Zhu
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Discrete Dynamics in Nature and Society, 2021 The time-variant matrix inversion (TVMI) problem solving is the hotspot of current research because of its frequent appearance and application in scientific research and industrial production. The generalized inverse problem of singular square matrix and
Dongqing Wu, Yunong Zhang
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EAI Endorsed Transactions on Scalable Information Systems, 2022 We, the Publisher, have retracted the following article: Yachao Zhang, Yuxia Yuan (2022). A novel dilated convolutional neural network model for road scene segmentation. EAI Endorsed Scal Inf Syst.
Yachao Zhang, Yuxia Yuan
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