Projects per year
Personal profile
Education
- 1985 PhD, Industrial Engineering, California Miramar University
Research Interests
- Automation Manufacturing Systems
- Knowledge Base System
- Scheduling Theory
- Small-data Learning Theory
Experience
- 1986/02 ~ 1993/07 Associate Professor, Department of Industrial Information Managrment Institute of Information Management, National Cheng Kung University
- 1993/08~ present Professor, Department of Industrial Information Managrment Institute of Information Management, National Cheng Kung University
Fingerprint Dive into the research topics where Der-Chiang Li is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
Neural networks
Engineering & Materials Science
Scheduling
Engineering & Materials Science
Liquid crystal displays
Engineering & Materials Science
Backpropagation
Engineering & Materials Science
Learning systems
Engineering & Materials Science
Industry
Engineering & Materials Science
Flexible manufacturing systems
Engineering & Materials Science
Learning algorithms
Engineering & Materials Science
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Research Output 1984 2019
Building robust models for small data containing nominal inputs and continuous outputs based on possibility distributions
Li, D-C., Shi, Q. S. & Chen, H. Y., 2019 Jan 1, In : International Journal of Machine Learning and Cybernetics.Research output: Contribution to journal › Article
Experiments
Extrapolation-based grey model for small-data-set forecasting
Chang, C. J., Li, D-C., Chen, C. C. & Chen, W. C., 2019 Jan 1, In : Economic Computation and Economic Cybernetics Studies and Research. 53, 1, p. 171-182 12 p.Research output: Contribution to journal › Article
Open Access
GM(1,1)
GM(1,1) Model
Grey Model
Extrapolation
Forecasting
Extrapolation-Based Grey Model for Small-Data-Set Forecasting
Che-jung, C., Li, D-C., Chien-chih, C. & Wen-chih, C., 2019 Mar, In : Economic Computation and Economic Cybernetics Studies and Research. 53, 1, p. 171-182Research output: Contribution to journal › Article
1
Citation
(Scopus)
Aggregating predictions of multi-models for the small dataset learning tasks in the TFT-LCD process
Li, D-C. & Chen, H. Y., 2018 Feb 1, In : International Journal of Advanced Manufacturing Technology. 94, 5-8, p. 2281-2291 11 p.Research output: Contribution to journal › Article
Liquid crystal displays
Thin film transistors
Membership functions
Product development
Agglomeration
An attribute extending method to improve learning performance for small datasets
Lin, L. S., Li, D-C., Chen, H. Y. & Chiang, Y. C., 2018 Apr 19, In : Neurocomputing. 286, p. 75-87 13 p.Research output: Contribution to journal › Article
Learning
Research Personnel
Datasets
Thesis
A New Data Transformation Model for Small Dataset Learning
Author: 怡翔, 溫., 2016 Aug 5Supervisor: Li, D. (Supervisor)
Student thesis: Doctoral Thesis
Generating Multi-modal Virtual Samples to Assess Product Lifetime Performance for Small Data Sets
Author: 良憲, 林., 2014 Jul 11Supervisor: Li, D. (Supervisor)
Student thesis: Doctoral Thesis
Practical Information Diffusion Techniques to Accelerate New Product Pilot Runs
Author: 文智, 陳., 2015 Apr 16Supervisor: Li, D. (Supervisor)
Student thesis: Doctoral Thesis
Rebuilding Sample Distributions for Small Dataset Learning
Author: 武國, 林., 2018 Jan 4Supervisor: Li, D. (Supervisor)
Student thesis: Doctoral Thesis
Using Goodness-of-fit Techniques to Select Virtual Samples to Improve Small Data of Cost Prediction
Author: 洧琳, 廖., 2015 Nov 9Supervisor: Li, D. (Supervisor)
Student thesis: Master's Thesis