|
English
|
正體中文
|
简体中文
|
Total items :0
|
|
Visitors :
52608728
Online Users :
876
Project Commissioned by the Ministry of Education
Project Executed by National Taiwan University Library
|
|
|
|
Taiwan Academic Institutional Repository >
Browse by Author
|
"yeh chun wu"
Showing items 1-10 of 12 (2 Page(s) Totally)
1 2 > >>
View [10|25|50] records per page
| 國立臺北護理健康大學 |
2022 |
A Fuzzy-based Approach for Improving Accuracy of Grey Forecasting Models.
|
Tsai, Tung-I; Yeh, Chun Wu; Lin, Liang-Sian; Chang, Che-jung; Li, Der-Chiang |
| 國立臺北護理健康大學 |
2019-07 |
Improving the learning accuracy of the mega trend diffusion technique for small data sets
|
Tsai, Tung-I; Yeh, Chun-Wu; Lin, Liang-Sian; Wen, I-Hsiang |
| 國立臺北護理健康大學 |
2017-08 |
Detecting representative data and generating synthetic samples to improve learning accuracy with imbalanced data sets
|
Li, Der-Chiang; Hu, Susan C; Lin, Liang-Sian; Yeh, Chun-Wu |
| 國立成功大學 |
2016-12 |
Using a diffusion wavelet neural network for short-term time series learning in the wafer level chip scale package process
|
Li, Der-Chiang; Yeh, Chun-Wu; Chen, Chieh-Chih; Shih, Hung-Ta |
| 國立臺北護理健康大學 |
2016-07 |
A learning approach with under-and over-sampling for imbalanced data sets
|
Yeh, Chun-Wu; Li, Der-Chiang; Lin, Liang-Sian; Tsai, Tung-I |
| 國立成功大學 |
2014 |
Impacts of Transportation Cost on Distribution-Free Newsboy Problems
|
Shu, Ming-Hung; Yeh, Chun-Wu; Fu, Yen-Chen |
| 國立成功大學 |
2012-06-15 |
Estimation of a data-collection maturity model to detect manufacturing change
|
Yeh, Chun-Wu; Li, Der-Chiang; Zhang, Yao-Ren |
| 國立成功大學 |
2010-03 |
A trend prediction model from very short term data learning
|
Yeh, Chun-Wu; Li, Der-Chiang |
| 國立成功大學 |
2008-04 |
A case study: The prediction of Taiwan's export of polyester fiber using small-data-set learning methods
|
Li, Der-Chiang; Yeh, Chun-Wu; Li, Zheng-Yuan |
| 國立成功大學 |
2008-01 |
A non-parametric learning algorithm for small manufacturing data sets
|
Li, Der-Chang; Yeh, Chun-Wu |
Showing items 1-10 of 12 (2 Page(s) Totally)
1 2 > >>
View [10|25|50] records per page
|
