Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Jianqiang Gong"'
Publikováno v:
IET Microwaves, Antennas & Propagation, Vol 17, Iss 5, Pp 369-377 (2023)
Abstract An improved simplified composite right‐/left‐handed (SCRLH) zeroth‐order resonator (ISZOR) is introduced, comprising two lateral parallel capacitors and a centred T‐type inductor circuit. Starting from the lumped circuit of the ISZOR
Externí odkaz:
https://doaj.org/article/b2b548273b544f47bb3497709547c3b3
Publikováno v:
Journal of Traffic and Transportation Engineering (English ed. Online), Vol 9, Iss 1, Pp 69-77 (2022)
As one of the critical issues in operations management, spare parts planning classification systems based only on cost may not withstand the test of time because of continuing technological advancement or environmental degradation. This study, howeve
Externí odkaz:
https://doaj.org/article/720e5c53157643779462c55c12ecd0d9
Autor:
Jie Jin, Jianqiang Gong
Publikováno v:
Alexandria Engineering Journal, Vol 60, Iss 1, Pp 659-669 (2021)
In this paper, a new interference-tolerant fast convergence zeroing neural network (ITFCZNN) using a novel activation function (NAF) for solving dynamic matrix inversion (DMI) is presented and investigated. Compared with the original zeroing neural n
Externí odkaz:
https://doaj.org/article/3c0317a983a6422aade9612776ba82f8
Publikováno v:
Petroleum Research, Vol 1, Iss 1, Pp 70-80 (2016)
Abstract: Shale oil and gas plays in continental rift basins are complicated and have not been reported elsewhere. In the Luojia area of the Jiyang Depression, an evaluation workflow for shale oil and gas in this continental rift basin is proposed. B
Externí odkaz:
https://doaj.org/article/ffc6196eb4894ab593e5cb6acb0dfde2
Publikováno v:
IEEE Transactions on Cybernetics. 53:3887-3900
As a classical and effective method for solving various time-varying problems, the zeroing neural network (ZNN) is widely applied in the scientific and industrial realms. In plentiful studies on the ZNN model, its robustness and convergence have been
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8adb66d42e3c3e71e4ca2e5ccd43ebaa
https://doi.org/10.1109/tcyb.2022.3179312
https://doi.org/10.1109/tcyb.2022.3179312
Publikováno v:
Microwave and Optical Technology Letters. 65:14-19
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::10e36ac9621e1d990df4cea8375c6378
https://doi.org/10.1002/mop.33440
https://doi.org/10.1002/mop.33440
Publikováno v:
Mathematics and Computers in Simulation. 197:291-307
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cd2dcae46c8e093026e80de43694f8e0
https://doi.org/10.1016/j.matcom.2022.02.019
https://doi.org/10.1016/j.matcom.2022.02.019
Publikováno v:
Journal of Traffic and Transportation Engineering (English Edition). 9:69-77
As one of the critical issues in operations management, spare parts planning classification systems based only on cost may not withstand the test of time because of continuing technological advancement or environmental degradation. This study, howeve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::57f13c4500688f6fc299f36d434735e0
https://doi.org/10.1016/j.jtte.2019.01.008
https://doi.org/10.1016/j.jtte.2019.01.008
Publikováno v:
Mathematics and Computers in Simulation. 185:289-307
Based on a new robust zeroing neural network (RZNN) model, the trajectory tracking control of a wheeled mobile robot (WMR) within fixed-time in noise-polluted environment is presented in this paper. Unlike most of the previous reported works, the RZN
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::819c141a576e325fe619b78493901ba2
https://doi.org/10.1016/j.matcom.2020.12.030
https://doi.org/10.1016/j.matcom.2020.12.030
Autor:
Jianqiang Gong, Jie Jin
Publikováno v:
Neural Processing Letters. 53:3591-3606
In this paper, a new zeroing neural network (NZNN) with a new activation function (AF) is presented and investigated for solving dynamic Sylvester equation (DSE). The proposed NZNN not only finds the solutions of the DSE in fixed-time but also has be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2a467a30530bb7fc4c61c56763fab458
https://doi.org/10.1007/s11063-021-10516-8
https://doi.org/10.1007/s11063-021-10516-8