Proceedings of the 2016 International Conference on Education, Management, Computer and Society

Research into Technology Decision Methods of CAPP Artificial Intelligence

Authors
Bo Zhang
Corresponding Author
Bo Zhang
Available Online January 2016.
DOI
10.2991/emcs-16.2016.63How to use a DOI?
Keywords
CAPP; Artificial intelligence; Database; Technology decision
Abstract

Technology decision is the core of CAPP system, and the ability of technology decision determines the main performances of the CAPP system while the way to make decisions determines the type of CAPP system. In this paper, the method of automatic processing in CAPP is studied systematically, and an effective intelligent process decision-making system is established. Some problems exist in the development of CAPP, which is useful for future research and development. In this paper, the requirement of the information model of parts in the CAD/CAPP integrated system is presented. The method to establish the information model of the parts in the process decision system is given.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

Volume Title
Proceedings of the 2016 International Conference on Education, Management, Computer and Society
Series
Advances in Computer Science Research
Publication Date
January 2016
ISBN
10.2991/emcs-16.2016.63
ISSN
2352-538X
DOI
10.2991/emcs-16.2016.63How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Bo Zhang
PY  - 2016/01
DA  - 2016/01
TI  - Research into Technology Decision Methods of CAPP Artificial Intelligence
BT  - Proceedings of the 2016 International Conference on Education, Management, Computer and Society
PB  - Atlantis Press
SP  - 260
EP  - 263
SN  - 2352-538X
UR  - https://doi.org/10.2991/emcs-16.2016.63
DO  - 10.2991/emcs-16.2016.63
ID  - Zhang2016/01
ER  -