DocumentCode
1582017
Title
A machine learning based approach to manufacturing process planning
Author
Horváth, László ; Rudas, Imre J.
Author_Institution
Banki Donat Polytech., Budapest, Hungary
fYear
1993
fDate
6/15/1905 12:00:00 AM
Firstpage
429
Lastpage
433
Abstract
This paper presents a new approach to introducing machine learning techniques to solve a few problems encountered in the recent CAPP systems when they applied in company practice. It shows a process planning methodology which enables application of practically applicable learning algorithms. The authors suggest four levels of learning corresponding to the four levels of process planning knowledge defined.
Keywords
computer aided production planning; learning (artificial intelligence); process computer control; production control; AI; CAPP; algorithms; application; machine learning; manufacturing process planning; production control; CADCAM; Computer aided manufacturing; Design automation; Knowledge representation; Machine learning; Machine learning algorithms; Manufacturing processes; Personnel; Problem-solving; Process planning;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Electronics, 1993. Conference Proceedings, ISIE'93 - Budapest., IEEE International Symposium on
Conference_Location
Budapest, Hungary
Print_ISBN
0-7803-1227-9
Type
conf
DOI
10.1109/ISIE.1993.268767
Filename
268767
Link To Document