Title : 
A machine learning based approach to manufacturing process planning
         
        
            Author : 
Horváth, László ; Rudas, Imre J.
         
        
            Author_Institution : 
Banki Donat Polytech., Budapest, Hungary
         
        
        
            fDate : 
6/15/1905 12:00:00 AM
         
        
        
        
            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;
         
        
        
        
            Conference_Titel : 
Industrial Electronics, 1993. Conference Proceedings, ISIE'93 - Budapest., IEEE International Symposium on
         
        
            Conference_Location : 
Budapest, Hungary
         
        
            Print_ISBN : 
0-7803-1227-9
         
        
        
            DOI : 
10.1109/ISIE.1993.268767