|
| << previous | next >> |
Journal description
All volumes of the corresponding journal
All issues of the corresponding volume
All articles of the corresponding issues
Details for article 2 of 9 found articles
| Title: |
AN ARTIFICIAL INTELLIGENCE-BASED DESIGN TOOL FOR THIN FILM COMPOSITE MATERIALS |
| Author: |
Sticklen, Jon Kamel, Ahmed Hawley, Martin Delong, John |
| Appeared in: |
Applied artificial intelligence |
| Paging: | Volume 6 (1992) nr. 3 pages 303-313 |
| Year: |
1992-07-01 |
| Contents: |
Current design approaches for composite materials may typically be categorized as either (a) dependent on the experience of seasoned designers of manufacturing protocols for composites or (b) dependent on fundamental studies of the materials involved. We are currently undertaking research to combine these two approaches in an artificial intelligence-based problem-solving system. We report research in progress aimed at automating capability (a) by leveraging a known AI technique: Routine Design. We have implemented a prototype system in the language of Routine Design (DSPL) that covers part of the domain of protocol design for thin film epoxy-resin composite materials. Results encourage further development. We conclude by describing the overall problem-solving architecture we are developing. |
| Publisher: |
Taylor & Francis |
| Source file: |
Elektronische Wetenschappelijke Tijdschriften |
Details for article 2 of 9 found articles
| << previous | next >> |