Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Shu-Xian DENG"'
Autor:
Gui-Fang Hu, Shu-Xian Deng
Publikováno v:
Journal of Low Frequency Noise, Vibration and Active Control, Vol 38 (2019)
A fast insight into the frequency–amplitude relationship of a rehabilitation training device and other nonlinear vibrations as well is of great importance. This paper applies Ren’s frequency–amplitude formulation to obtain approximate frequenci
Externí odkaz:
https://doaj.org/article/6b8a7b37274a4a8d8ef993918a95419f
Autor:
Shu-Xian DENG1, Xin-Xin GE2 hngcdsx@163.com
Publikováno v:
Thermal Science. 2021, Vol. 25 Issue 6B, p4449-4455. 7p.
Autor:
Shu-Xian DENG1, Xin-Xin GE2 hngcdsx@163.com
Publikováno v:
Thermal Science. 2019, Vol. 23 Issue 3, p1571-1576. 6p.
Autor:
Shu-Xian DENG1, Xin-Xin GE2 hngcdsx@163.com
Publikováno v:
Thermal Science. 2019, Vol. 23 Issue 3, p1671-1675. 5p.
Autor:
Shu-Xian Deng, Gui-Fang Hu
Publikováno v:
Journal of Low Frequency Noise, Vibration and Active Control, Vol 38 (2019)
A fast insight into the frequency–amplitude relationship of a rehabilitation training device and other nonlinear vibrations as well is of great importance. This paper applies Ren’s frequency–amplitude formulation to obtain approximate frequenci
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1d14f37a4aa3218a55c90c8d7770e769
https://doi.org/10.1177/1461348418815045
https://doi.org/10.1177/1461348418815045
Publikováno v:
Electrical Engineering and Automation.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7838968b3b7518ab697c5051c69f62f0
https://doi.org/10.1142/9789813220362_0008
https://doi.org/10.1142/9789813220362_0008
Publikováno v:
DEStech Transactions on Engineering and Technology Research.
In this paper, we concerned with the weak decay stability on a class of quasi-linear wave equations. We use a so-called energy perturbation method to establish weak controllability of solutions in terms of energy norm for a class of nonlinear functio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0bff52e6b1d7b389957bf46081ca01dc
https://doi.org/10.12783/dtetr/mdm2016/4973
https://doi.org/10.12783/dtetr/mdm2016/4973
Publikováno v:
Advanced Materials Research. :828-832
BP neural networks requires for the predicted number of hidden layer neurons and the corresponding predicted function. RBF distributed organizations can effectively address a large number of fault information. RBF algorithm is combined with the wavel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3c18aea4ac50dc6d574d687eae922acd
https://doi.org/10.4028/www.scientific.net/amr.546-547.828
https://doi.org/10.4028/www.scientific.net/amr.546-547.828
Publikováno v:
Acta Mathematicae Applicatae Sinica, English Series. 28:591-596
This paper is concerned with the decay rate of solutions for a quasilinear wave equation with viscosity. We use a so-called energy perturbation method to establish decay rate of solutions in terms of energy norm for a class of nonlinear functions. Wi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e404af35b5838604c2c31fee0e8b0597
https://doi.org/10.1007/s10255-012-0172-4
https://doi.org/10.1007/s10255-012-0172-4
Autor:
Shu Xian Deng, Ming Jun Wang
Publikováno v:
Applied Mechanics and Materials. :164-170
The present paper based on rough set theory is to analyze the reason of an e-commerce customers losing. The e-commerce is virtual, customers purchase behavior is random, and there is the 20/80 theory. The focus to the e-commerce customers losing pred
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eae12b4ff7a2a302eee687957e52dad6
https://doi.org/10.4028/www.scientific.net/amm.58-60.164
https://doi.org/10.4028/www.scientific.net/amm.58-60.164