Neural networks and their applications in component design data retrieval

Sagar V. Kamarthi, Soundar Rajan Tirupatikumara, Francis T.S. Yu, Inyong Ham

Research output: Contribution to journalArticlepeer-review

33 Scopus citations

Abstract

Neural networks have gained increased importance in the past few years. One of the basic characteristics of neural networks is the property of associative memory. In this paper we study the possibility of using the ideas of neural networks and associative memory in the manufacturing domain, with specific reference to design data retrieval in group technology. A two-layer feed-forward perceptron with backpropagation is simulated on a Vax-8550 to train example parts. The complete scheme along with the simulation results are explained and future directions indicated.

Original languageEnglish (US)
Pages (from-to)125-140
Number of pages16
JournalJournal of Intelligent Manufacturing
Volume1
Issue number2
DOIs
StatePublished - Jun 1 1990

All Science Journal Classification (ASJC) codes

  • Software
  • Industrial and Manufacturing Engineering
  • Artificial Intelligence

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