Pattern Classification Based upon Design and Manufacturing Features
The neural networks improved for manufacturing and design applications that comprise part family identification, engineering manufacturing or design and process planning, have been categorized into four sub-categories. These comprise the employ of neural networks mainly to as:
(a) Coding activity and facilitate classification.
(b) Retrieve existing designs based upon features needed for a new part.
(c) Form part families based upon design or and manufacturing features.
(d) Support group technology based manufacturing or design and process planning functions.
Neural networks that evolved for designing of part family based upon design or manufacturing features resort to laborious part categorization and coding activity and intend at clustering directly from part features represented to the networks. The network categorization the represented features into families and assist assign new parts to exact families.