An Application of Neural Networks to Group Technology,

Abstract

Adaptive resonance theory (ART) neural networks are being developed for application to the industrial engineering problem of group technology -- the reuse of engineering designs. Two and three dimensional representations of engineering designs are input to ART-1 neural networks to produce groups or families of similar parts. These representations, in their basic form, amount to bit maps of the design, and can become very large when the design is represented in high resolution. We describe a neural database system under development. This system demonstrates the feasibility of training an ART-1 network to first cluster designs into families, and then to recall the family when presented a similar design. This application is of large practical value to industry, making it possible to avoid duplication of design efforts.

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1992
Accession Number
ADP007098

Entities

People

  • Scott D. Smith
  • Stanley Tazuma
  • Thomas P. Caudell

Organizations

  • Boeing

Tags

DTIC Thesaurus Topics

  • Computer Science
  • Databases
  • Engineering
  • High Resolution
  • Industrial Engineering
  • Information Science
  • Neural Networks
  • Theoretical Computer Science
  • Three Dimensional

Fields of Study

  • Computer science

Readers

  • Defense Technology Research and Development.
  • Neural Network Machine Learning.
  • Software Engineering

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms
  • AI & ML - Neural Networks