Zobrazeno 1 - 10
of 70
pro vyhledávání: '"Cheng-Ming Lee"'
Publikováno v:
Journal of the Formosan Medical Association, Vol 110, Iss 12, Pp 762-767 (2011)
In the past few years, many new subtypes in hepatitis C virus (HCV) genotype 6 have been identified. The aim of this study was to modify the multiplex real-time polymerase chain reaction (RT-PCR) protocol and use it to determine the HCV subtypes of a
Externí odkaz:
https://doaj.org/article/688d898d636745b5a6f7f808a7fd77aa
Autor:
Cheng-Ming Lee, Chia-Nan Ko
Publikováno v:
Energies, Vol 9, Iss 12, p 987 (2016)
A reinforcement learning algorithm is proposed to improve the accuracy of short-term load forecasting (STLF) in this article. The proposed model integrates radial basis function neural network (RBFNN), support vector regression (SVR), and adaptive an
Externí odkaz:
https://doaj.org/article/7cc174eacfd44aa194fdc48f57ca2918
Autor:
Cheng-Ming Lee, 李政明
102
Early detection of failure development in materials is an important requirement for the prevention of catastrophic losses. A new class of materials in which the internal damages can be detected by non-destructive methods, is called ‘‘sel
Early detection of failure development in materials is an important requirement for the prevention of catastrophic losses. A new class of materials in which the internal damages can be detected by non-destructive methods, is called ‘‘sel
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/8vq9k2
Autor:
Cheng-Ming Lee, 李建銘
94
Glycine N-methyltransferase (GNMT) is a key protein in the liver that its function is not only an enzyme regulating the concentration of the methyl-group donor, S-adenosylmethionine, but also the 4S polycyclic aromatic hydrocarbon-binding pro
Glycine N-methyltransferase (GNMT) is a key protein in the liver that its function is not only an enzyme regulating the concentration of the methyl-group donor, S-adenosylmethionine, but also the 4S polycyclic aromatic hydrocarbon-binding pro
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/67997731795755042112
Autor:
Cheng-Ming Lee, 李建明
91
With the coming global oil crisis, the investigation of new resources, energy-saving and high-efficiency appliances are the topic for the future. The superior optical properties of GaN-based not only provide high efficiency that can be used i
With the coming global oil crisis, the investigation of new resources, energy-saving and high-efficiency appliances are the topic for the future. The superior optical properties of GaN-based not only provide high efficiency that can be used i
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/25349233589476587573
Autor:
Cheng-Ming Lee, Chia-Nan Ko
Publikováno v:
Artificial Life and Robotics. 20:353-358
This article proposes an adaptive fuzzy neural network (AFNN) based on lifting scheme of wavelets to recognize image with noise/blur. In the research, first, the image with noise/blur is completed through the gray level transformation to discrete spa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f35db3c5592886753acded6ce5063a7
https://doi.org/10.1007/s10015-015-0242-9
https://doi.org/10.1007/s10015-015-0242-9
Publikováno v:
Computers & Education. 71:185-197
A mobile guide system that integrates art appreciation instruction with augmented reality (AR) was designed as an auxiliary tool for painting appreciation, and the learning performance of three groups of visiting participants was explored: AR-guided,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c7a1a4c50e374174fdec2f197804c069
https://doi.org/10.1016/j.compedu.2013.09.022
https://doi.org/10.1016/j.compedu.2013.09.022
Autor:
Chia-Nan Ko, Cheng-Ming Lee
Publikováno v:
Energy. 49:413-422
Accurate load forecasting is an important issue for the reliable and efficient operation of the power system. This paper presents a hybrid algorithm which combines SVR (support vector regression), RBFNN (radial basis function neural network), and DEK
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::64c930ee975ae110d01a80d62e50216d
https://doi.org/10.1016/j.energy.2012.11.015
https://doi.org/10.1016/j.energy.2012.11.015
Autor:
Chia-Nan Ko, Cheng-Ming Lee
Publikováno v:
Energies, Vol 9, Iss 12, p 987 (2016)
Energies; Volume 9; Issue 12; Pages: 987
Energies; Volume 9; Issue 12; Pages: 987
Short-Term Load Forecasting Using Adaptive Annealing Learning Algorithm Based Reinforcement Neural Network Cheng-Ming Lee a and Chia-Nan Ko * a Department of Digital Living Innovation, Nan Kai University of Technology, Tsaotun, Nantou 542, Taiwan; t1
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3926c2fc7b7ab12d1440d8cfd520461e
https://doi.org/10.20944/preprints201609.0119.v1
https://doi.org/10.20944/preprints201609.0119.v1