2008 |
11 | EE | Der-Chiang Li,
Yao-San Lin:
Learning management knowledge for manufacturing systems in the early stages using time series data.
European Journal of Operational Research 184(1): 169-184 (2008) |
10 | EE | Tung-I. Tsai,
Der-Chiang Li:
Approximate modeling for high order non-linear functions using small sample sets.
Expert Syst. Appl. 34(1): 564-569 (2008) |
9 | EE | Der-Chiang Li,
Chun-Wu Yeh,
Zheng-Yuan Li:
A case study: The prediction of Taiwan's export of polyester fiber using small-data-set learning methods.
Expert Syst. Appl. 34(3): 1983-1994 (2008) |
8 | EE | Der-Chiang Li,
Yao-Hwei Fang:
An algorithm to cluster data for efficient classification of support vector machines.
Expert Syst. Appl. 34(3): 2013-2018 (2008) |
7 | EE | Tung-I. Tsai,
Der-Chiang Li:
Utilize bootstrap in small data set learning for pilot run modeling of manufacturing systems.
Expert Syst. Appl. 35(3): 1293-1300 (2008) |
2007 |
6 | EE | Der-Chiang Li,
Fengming M. Chang:
An In-Out Combined Dynamic Weighted Round-Robin Method for Network Load Balancing.
Comput. J. 50(5): 555-566 (2007) |
5 | EE | Der-Chiang Li,
Chih-Sen Wu,
Tung-I. Tsai,
Yao-San Lin:
Using mega-trend-diffusion and artificial samples in small data set learning for early flexible manufacturing system scheduling knowledge.
Computers & OR 34(4): 966-982 (2007) |
4 | EE | Der-Chiang Li,
Hung-Chang Hsu,
Tung-I. Tsai,
Te-Jung Lu,
Susan C. Hu:
A new method to help diagnose cancers for small sample size.
Expert Syst. Appl. 33(2): 420-424 (2007) |
2006 |
3 | EE | Der-Chiang Li,
Chih-Sen Wu,
Tung-I. Tsai,
Fengming M. Chang:
Using mega-fuzzification and data trend estimation in small data set learning for early FMS scheduling knowledge.
Computers & OR 33: 1857-1869 (2006) |
2005 |
2 | EE | Der-Chiang Li,
Chih-Sen Wu,
Fengming M. Chang:
Determination of the parameters in the dynamic weighted Round-Robin method for network load balancing.
Computers & OR 32: 2129-2145 (2005) |
1997 |
1 | EE | Der-Chiang Li,
Chih-Sen Wu,
Kuan-Yeh Torng:
Using an Unsupervized Neural Network and Decision Tree as Knowledge Acquisition Tools for Fms Scheduling.
Int. J. Systems Science 28(10): 977-985 (1997) |