search query: @author Yih, Y. / total: 7
reference: 3 / 7
| Author: | Chen, C. C. Yih, Y. |
| Title: | Identifying attributes for knowledge-based development in dynamic scheduling environments (Maschinenbelegungsplanung, Planungsmodell) |
| Journal: | International Journal of Production Research
1996 : JUN, VOL. 34:6, p. 1739-1755 |
| Index terms: | |
| Freeterms: | FERTIGUNGSPROGRAMMPLANUNG, PROBLEMORIENTIERTE SOFTWARE |
| Language: | eng |
| Abstract: | Inductive learning techniques have shown inspiring success in reducing the effort for knowledge acquisition in the development of knowledge-based scheduling systems. This study proposes a neural network-based approach to identify the essential attributes for knowledge-based scheduling systems. Through the case study conducted, the proposed identification procedure is capable of selecting the essential attributes out of a given set of candidate attributes. |
SCIMA