A neural network system for shape-based classification and coding of rotational parts

A neural network system for shape-based classification and coding of rotational parts

0.00 Avg rating0 Votes
Article ID: iaor1992101
Country: United Kingdom
Volume: 29
Issue: 9
Start Page Number: 1771
End Page Number: 1784
Publication Date: Sep 1991
Journal: International Journal of Production Research
Authors: ,
Keywords: neural networks
Abstract:

The classification and coding of parts for group technology applications continue to be labour intensive and time-consuming processes. In this paper a pattern recognition approach utilizing neural networks is presented for the automation of some elements of this critical activity. As an illustrative example, a neural network system is used to generate part geometry-related digits of the Opitz code from bitmaps of part drawings. It is found to generate codes accurately and promises to be a useful tool for the automatic generation of shape-based classes and codes.

Reviews

Required fields are marked *. Your email address will not be published.