A machine learning based approach to manufacturing process planning

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

This paper presents a new approach to introducing machine learning techniques to solve a few problons encountered at the recent CAFF systems when they applied in the company practice. It shows a process planning methodology which enables application of practically applicable learning algorithms. The authors suggest four levels of learning in corresponding to the four levels of process planning knowledge defined.

Original languageEnglish
Title of host publicationISIE 1993 - Budapest
Subtitle of host publicationIEEE International Symposium on Industrial Electronics, Conference Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages429-433
Number of pages5
ISBN (Electronic)0780312279
DOIs
Publication statusPublished - Jan 1 1993
Event1993 IEEE International Symposium on Industrial Electronics, ISIE 1993 - Budapest, Hungary
Duration: Jun 1 1993Jun 3 1993

Publication series

NameIEEE International Symposium on Industrial Electronics

Conference

Conference1993 IEEE International Symposium on Industrial Electronics, ISIE 1993
CountryHungary
CityBudapest
Period6/1/936/3/93

    Fingerprint

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Control and Systems Engineering

Cite this

Horvâth, L., & Rudas, I. J. (1993). A machine learning based approach to manufacturing process planning. In ISIE 1993 - Budapest: IEEE International Symposium on Industrial Electronics, Conference Proceedings (pp. 429-433). [268767] (IEEE International Symposium on Industrial Electronics). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISIE.1993.268767