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Showing results for zeroing hu
Your search for Zerong Hu retrieved no results
Explicit Linear Left-and-Right 5-Step Formulas With Zeroing Neural Network for Time-Varying Applications.
Yang M, Zhang Y, Tan N, Hu H. Yang M, et al. IEEE Trans Cybern. 2023 Feb;53(2):1133-1143. doi: 10.1109/TCYB.2021.3104138. Epub 2023 Jan 13. IEEE Trans Cybern. 2023. PMID: 34464284
The general sixth-order ELLR5S formula is further utilized to generate discrete zeroing neural network (DZNN) models for solving time-varying linear and nonlinear systems. ...
The general sixth-order ELLR5S formula is further utilized to generate discrete zeroing neural network (DZNN) models for solving time …
7-Instant Discrete-Time Synthesis Model Solving Future Different-Level Linear Matrix System via Equivalency of Zeroing Neural Network.
Yang M, Zhang Y, Tan N, Mao M, Hu H. Yang M, et al. IEEE Trans Cybern. 2022 Aug;52(8):8366-8375. doi: 10.1109/TCYB.2021.3051035. Epub 2022 Jul 19. IEEE Trans Cybern. 2022. PMID: 33544686
For solving this difficult future different-level linear matrix system, the continuous different-level linear matrix system is first considered. On the basis of the zeroing neural network (ZNN), the physical mathematical equivalency is thus proposed, which is called ZNN eq …
For solving this difficult future different-level linear matrix system, the continuous different-level linear matrix system is first conside …
Effect of introducing virtual community and community group buying on customer's perceived value and loyalty behavior: A convenience store-based perspective.
Xu X, Hu Z. Xu X, et al. Front Psychol. 2022 Sep 26;13:989463. doi: 10.3389/fpsyg.2022.989463. eCollection 2022. Front Psychol. 2022. PMID: 36225703 Free PMC article.
The recommendations are offered, such as designing growing-oriented and periodical zeroing LPs, as well as using new social media marketing tools (virtual community-based marketing) to empower traditional marketing techniques (LP-based relationship marketing) and construct …
The recommendations are offered, such as designing growing-oriented and periodical zeroing LPs, as well as using new social media mar …
Time-weighted blood pressure with cardiovascular risk among patients with or without diabetes.
Jiang Z, Shao F, Hu J, Zhuang Q, Cooray PLRK, Chen K, Wu Z, Chen T, Li C. Jiang Z, et al. Clin Cardiol. 2024 Jan;47(1):e24213. doi: 10.1002/clc.24213. Clin Cardiol. 2024. PMID: 38269631 Free PMC article.
Time-weighted BP burden above a threshold is also determined after deriving the time-weighted BP by re-zeroing the interpolated pressure values at two different hypertension thresholds (>140/90 and >130/80 mmHg). ...
Time-weighted BP burden above a threshold is also determined after deriving the time-weighted BP by re-zeroing the interpolated press …
Design and Control of a Highly Redundant Rigid-flexible Coupling Robot to Assist the COVID-19 Oropharyngeal-Swab Sampling.
Hu Y, Li J, Chen Y, Wang Q, Chi C, Zhang H, Gao Q, Lan Y, Li Z, Mu Z, Sun Z, Knoll A. Hu Y, et al. IEEE Robot Autom Lett. 2021 Feb 25;7(2):1856-1863. doi: 10.1109/LRA.2021.3062336. eCollection 2022 Apr. IEEE Robot Autom Lett. 2021. PMID: 35582266 Free PMC article.
Compared with a rigid sampling robot, the developed force-sensing RFC robot can facilitate OP-swab sampling procedures in a safer and softer way. In addition, a varying-parameter zeroing neural network-based optimization method is also proposed for motion planning of the 9 …
Compared with a rigid sampling robot, the developed force-sensing RFC robot can facilitate OP-swab sampling procedures in a safer and softer …
New Varying-Parameter ZNN Models With Finite-Time Convergence and Noise Suppression for Time-Varying Matrix Moore-Penrose Inversion.
Tan Z, Li W, Xiao L, Hu Y. Tan Z, et al. IEEE Trans Neural Netw Learn Syst. 2020 Aug;31(8):2980-2992. doi: 10.1109/TNNLS.2019.2934734. Epub 2019 Sep 12. IEEE Trans Neural Netw Learn Syst. 2020. PMID: 31536017
For this purpose, two varying-parameter zeroing neural networks (VPZNNs) are proposed. Specifically, VPZNN-R and VPZNN-L models, which are based on a new design formula, are designed to solve the right and left Moore-Penrose inversion problems of time-varying full-rank mat …
For this purpose, two varying-parameter zeroing neural networks (VPZNNs) are proposed. Specifically, VPZNN-R and VPZNN-L models, whic …
Inverse-Free DZNN Models for Solving Time-Dependent Linear System via High-Precision Linear Six-Step Method.
Yang M, Zhang Y, Hu H. Yang M, et al. IEEE Trans Neural Netw Learn Syst. 2024 Jun;35(6):8597-8608. doi: 10.1109/TNNLS.2022.3230898. Epub 2024 Jun 3. IEEE Trans Neural Netw Learn Syst. 2024. PMID: 37015638
Different from conventional inverse-need models, by utilizing zeroing neural network (ZNN) method twice, an inverse-free continuous ZNN (CZNN) model is developed for solving TDLS. ...
Different from conventional inverse-need models, by utilizing zeroing neural network (ZNN) method twice, an inverse-free continuous Z …
General 7-Instant DCZNN Model Solving Future Different-Level System of Nonlinear Inequality and Linear Equation.
Yang M, Zhang Y, Hu H, Qiu B. Yang M, et al. IEEE Trans Neural Netw Learn Syst. 2020 Sep;31(9):3204-3214. doi: 10.1109/TNNLS.2019.2938866. Epub 2019 Sep 26. IEEE Trans Neural Netw Learn Syst. 2020. PMID: 31567101
To solve FDLSNILE, the corresponding continuous different-level system of nonlinear inequality and linear equation (CDLSNILE) is first analyzed, and then, a continuous combined zeroing neural network (CCZNN) model for solving CDLSNILE is proposed. To obtain a discrete comb …
To solve FDLSNILE, the corresponding continuous different-level system of nonlinear inequality and linear equation (CDLSNILE) is first analy …
[The noise filtering and baseline correction for harmonic spectrum based on wavelet transform].
Guo Y, Zhao XH, Zhang R, Hu YJ, Wang Y. Guo Y, et al. Guang Pu Xue Yu Guang Pu Fen Xi. 2013 Aug;33(8):2172-6. Guang Pu Xue Yu Guang Pu Fen Xi. 2013. PMID: 24159870 Chinese.
In the algorithm, the appropriate wavelet function and decomposition level were selected to decomposed the noise, baseline drift and useful signal in the harmonic curve into different frequency bands. the bands' information was analysed and a detecting band was set, then the info …
In the algorithm, the appropriate wavelet function and decomposition level were selected to decomposed the noise, baseline drift and useful …