A Review of Related Work on Machine Learning in Semiconductor Manufacturing and Assembly Lines

نویسندگان

  • Darko Stanisavljevic
  • Michael Spitzer
چکیده

This paper deals with applications of machine learning algorithms in manufacturing. Machine learning can be defined as a field of computer science that gives computers the ability to learn without explicitly developing the needed algorithms. Manufacturing is the production of merchandise by manual labour, machines and tools. The focus of this paper is on automatic production lines. The areas of interest of this paper are semiconductor manufacturing and production on assembly lines. The purpose of this paper is to review the relevant papers describing the applications of machine learning techniques in these fields of manufacturing thus creating a firm foundation for further research in the matter of machine learning in manufacturing.

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تاریخ انتشار 2016