Neural network based experimental design method and an industrial application Yapay sinir aǧlarina dayali deneysel tasarim metodu ve bir endüstriyel uygulama

ÖZTEMEL E., Aydin M. E.

Turkish Journal of Engineering and Environmental Sciences, cilt.20, sa.2, ss.73-78, 1996 (Scopus, TRDizin) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 20 Sayı: 2
  • Basım Tarihi: 1996
  • Dergi Adı: Turkish Journal of Engineering and Environmental Sciences
  • Derginin Tarandığı İndeksler: Scopus, TR DİZİN (ULAKBİM)
  • Sayfa Sayıları: ss.73-78
  • Anahtar Kelimeler: Artificial Neural Network, Experimental Design, Fractional Factorial Design, Multilayer Perceptron, Quality Control, Taguchi Method
  • İstanbul Ticaret Üniversitesi Adresli: Hayır

Özet

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.