Neural network based experimental design method and an industrial application

�ztemel, Ercan; Aydin, M. Emin

Abstract

It requires a great deal of expertise to satisfy customers under rapid technological changes in a highly competitive market. Quality should be taken into account not only in production lines but also during the design phase of the process. Especially, development of sophisticated CNC (Computer Numeric Controlled) machines makes the products produced comply with design specifications with minimum or near zero variation. Therefore the quality of the products is mostly effected by the specifications defined during the design phase. In this paper, a new method which can be used to achieve the best quality in defining the design specifications is described. The method is based on neural network computing technology.

Citation

Öztemel, E., & Aydin, M. E. (1996). Neural network based experimental design method and an industrial application. Turkish Journal of Engineering and Environmental Sciences, 20(2), 73-78

• Journal Article Type: Article
• Publication Date: Dec 1, 1996
• Deposit Date: Apr 30, 2021
• Journal: Turkish Journal of Engineering and Environmental Sciences
• Print ISSN: 1300-0160
• Peer Reviewed: Peer Reviewed
• Volume: 20
• Issue: 2
• Pages: 73-78
• Public URL: https://uwe-repository.worktribe.com/output/6545545
• Publisher URL: https://journals.tubitak.gov.tr/engineering/abstract.htm?id=272