Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Yung-Ming Wang"'
Autor:
Yung-Ming Wang, 王永明
93
This study is probing into the lasting competitive strategy of innovative IC design company. The greatest difference between innovative IC design company and imitating type IC design company is : The innovative IC design company creates profi
This study is probing into the lasting competitive strategy of innovative IC design company. The greatest difference between innovative IC design company and imitating type IC design company is : The innovative IC design company creates profi
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/15287433336366763078
Autor:
Yung-Ming Wang, 王永銘
92
The genetic algorithm can find an optimal solution in many complex problems, so it has been used widely in many applications, such as image processing, fuzzy control, neural network, communication system, and layout optimization. Genetic algo
The genetic algorithm can find an optimal solution in many complex problems, so it has been used widely in many applications, such as image processing, fuzzy control, neural network, communication system, and layout optimization. Genetic algo
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/64725730798572059077
Autor:
Yung-Ming Wang, 王永銘
92
The purpose of this study was to explore the money attitudes, consumer’s behavior and TV commercial attitudes of elementary school students at this time and the correlation between these. The consequence of this study will be the reference
The purpose of this study was to explore the money attitudes, consumer’s behavior and TV commercial attitudes of elementary school students at this time and the correlation between these. The consequence of this study will be the reference
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/62463482495032529515
Autor:
Yung-ming Wang, 王勇銘
83
The flow field and diffusion phenomena over complex terrain is affected by topography. A series of experiments were conduced to measure the flow field and diffusion variations near a two-dimensional triangular ridge at the Atmospheric Environ
The flow field and diffusion phenomena over complex terrain is affected by topography. A series of experiments were conduced to measure the flow field and diffusion variations near a two-dimensional triangular ridge at the Atmospheric Environ
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/88400800982007759556
Publikováno v:
Computers & Mathematics with Applications. 80:161-182
Within the framework of three-dimensional (3D) nonlocal elasticity theory, the authors develop an asymptotic theory to investigate the free vibration characteristics of simply supported, single-walled carbon nanotubes (SWCNTs) non-embedded or embedde
Autor:
Yung-Ming Wang, 王永銘
97
For deep submicron meter process,short channel effect becomes worse and so PMOS device has been changed to surface channel from buried channel by P+ gate poly use. However,P+ gate poly needs to dope by Boron, but device threshold voltage
For deep submicron meter process,short channel effect becomes worse and so PMOS device has been changed to surface channel from buried channel by P+ gate poly use. However,P+ gate poly needs to dope by Boron, but device threshold voltage
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/84796340169496084588
Nonlinear finite element analysis of a multiwalled carbon nanotube resting on a Pasternak foundation
Publikováno v:
Mechanics of Advanced Materials and Structures. 26:1505-1517
In conjunction with the Reissner's mixed variational theorem and nonlocal Timoshenko beam theory, we develop a finite element method for the geometrically nonlinear bending analysis of a mu...
Autor:
Li-Jeng Huang, Yung-Ming Wang
Publikováno v:
2018 IEEE International Conference on Applied System Invention (ICASI).
An innovative efficient and fast neural networks in which hidden neurons are constructed based on Fourier series expansions (FSNN), half-range cosine (FCSNN) and sine expansions (FSSNN) are proposed and tested for linear and nonlinear regulation prob
Autor:
Li-Jeng Huang, Yung-Ming Wang
Publikováno v:
2018 IEEE International Conference on Applied System Invention (ICASI).
This paper presents classification of linearly separable and non-separable problems using neural networks in which hidden neurons are constructed based on double Fourier series expansions (FSNN). The results of numerical examples including classifica