DocumentCode
3266460
Title
The Performance of ARTMAP in Pattern Recognition for a Flexible Vibratory Bowl Feeder System
Author
Sim, Siang Kok ; Chua, Patrick S K ; Tay, Meng Leong ; Yun, Gao
Author_Institution
School of Mechanical and Production Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798, Singapore. E-mail: msksim@ntu.edu.sg
fYear
2003
fDate
12-12 June 2003
Firstpage
223
Lastpage
227
Abstract
Neural networks have been shown to exhibit good pattern recognition capability. By incorporating this capability using an ARTMAP neural network within a flexible vibratory bowl feeder system, the feeder can orientate parts of a part family with short changeover time from one part to the next; this is highly sought after in batch production. This paper investigates the influence of a set of parameters that characterised ARTMAP and the sampling rate on the pattern recognition capability of the system. The results show that the optimal performance can be achieved by selecting appropriate values for these parameters.
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Automation, 2003. ICCA '03. Proceedings. 4th International Conference on
Conference_Location
Montreal, Que., Canada
Print_ISBN
0-7803-7777-X
Type
conf
DOI
10.1109/ICCA.2003.1595017
Filename
1595017
Link To Document