• 1543 Citations
  • 21 h-Index
1984 …2019
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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.

Projects 1995 2018

具名目屬性的小樣本資料的學習

Li, D.

17-08-0118-07-31

Project: Research project

提升 MTD 技術對於小樣本學習之預測準確性。

Li, D.

16-08-0117-07-31

Project: Research project

生成虛擬樣本以改善相依屬性之小資料集預測

Li, D.

14-08-0115-07-31

Project: Research project

Research Output 1984 2019

  • 1543 Citations
  • 21 h-Index
  • 94 Article
  • 12 Conference contribution

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 journalArticle

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. 171-182

Research output: Contribution to journalArticle

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 journalArticle

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 journalArticle

Learning
Research Personnel
Datasets

Thesis

A New Data Transformation Model for Small Dataset Learning

Author: 怡翔, 溫., 2016 Aug 5

Supervisor: 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 11

Supervisor: Li, D. (Supervisor)

Student thesis: Doctoral Thesis

Practical Information Diffusion Techniques to Accelerate New Product Pilot Runs

Author: 文智, 陳., 2015 Apr 16

Supervisor: Li, D. (Supervisor)

Student thesis: Doctoral Thesis

Rebuilding Sample Distributions for Small Dataset Learning

Author: 武國, 林., 2018 Jan 4

Supervisor: 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 9

Supervisor: Li, D. (Supervisor)

Student thesis: Master's Thesis