Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Chengze Jiang"'
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 5, Pp 6143-6157 (2024)
Abstract Dynamic Tensor Inversion (DTI) is an emerging issue in recent research, prevalent in artificial intelligence development frameworks such as TensorFlow and PyTorch. Traditional numerical methods suffer significant lagging error when addressin
Externí odkaz:
https://doaj.org/article/489a9b7ff14e4b57a469faffced7bbcd
Publikováno v:
CAAI Transactions on Intelligence Technology, Vol 9, Iss 1, Pp 167-177 (2024)
Abstract The solving of dynamic matrix square root (DMSR) problems is frequently encountered in many scientific and engineering fields. Although the original zeroing neural network is powerful for solving the DMSR, it cannot vanish the influence of t
Externí odkaz:
https://doaj.org/article/5404521dd98147c49e742805826ba845
Publikováno v:
Complex & Intelligent Systems, Vol 9, Iss 4, Pp 4213-4226 (2022)
Abstract Zeroing neural networks (ZNN) have shown their state-of-the-art performance on dynamic problems. However, ZNNs are vulnerable to perturbations, which causes reliability concerns in these models owing to the potentially severe consequences. A
Externí odkaz:
https://doaj.org/article/8c7fa876f76643ab8e259084ad193fed
Publikováno v:
IEEE Access, Vol 10, Pp 128336-128347 (2022)
In this paper, a zeroing neural network model with properties of non-convex activation and noise suppressing (NANSZNN) is proposed for finding the square root of a time-varying matrix. In comparison with the existing zeroing neural network models, th
Externí odkaz:
https://doaj.org/article/3e950cf970474ab3b2a89215e1abc58d
Publikováno v:
IEEE Access, Vol 10, Pp 2860-2868 (2022)
In many fields, the issue of solving the time-varying Sylvester equation (TVSE) is commonly encountered. Consequently, finding its exact solution has become a research hotspot. In general, the ZNN and IEZNN models are the most useful algorithms that
Externí odkaz:
https://doaj.org/article/10f30ac607294bd492f24a99703841af
Publikováno v:
Mathematics, Vol 11, Iss 10, p 2308 (2023)
The orthogonal triangular factorization (QRF) method is a widespread tool to calculate eigenvalues and has been used for many practical applications. However, as an emerging topic, only a few works have been devoted to handling dynamic QR factorizati
Externí odkaz:
https://doaj.org/article/cd274cf74f4547a495960d577f19b1a3
Publikováno v:
IEEE Access, Vol 9, Pp 135890-135898 (2021)
The time-varying complex-valued Sylvester equation (TVCVSE) often appears in many fields such as control and communication engineering. Classical recurrent neural network (RNN) models (e.g., gradient neural network (GNN) and zeroing neural network (Z
Externí odkaz:
https://doaj.org/article/d1936313c387453bb67ed288946ca6ab
Publikováno v:
IEEE Access, Vol 9, Pp 156680-156687 (2021)
Nowadays, the discrete algebraic matrix Riccati equation (DAMRE) is widely used in control system theory, engineering application, etc. In order to solve the problem with the high accuracy of DAMRE, a large number of researchers have achieved great s
Externí odkaz:
https://doaj.org/article/3cd23963acb94832a7d568d9afba45d7
Publikováno v:
Neural Processing Letters. 55:773-787
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::14c21eff9c8c367d49bf0dcd0a69d28e
https://doi.org/10.1007/s11063-022-10908-4
https://doi.org/10.1007/s11063-022-10908-4
Autor:
Chengze Jiang, Xiuchun Xiao
Publikováno v:
IEEE/CAA Journal of Automatica Sinica. 10:298-300
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ac508a04cebcfb2131f2020aaf864668
https://doi.org/10.1109/jas.2023.123057
https://doi.org/10.1109/jas.2023.123057