Naslov
A neural network approach in cellular manufacturing

Autori
Mikac, Tonči ; Jurković, Milan ; Pekić, Zoltan

Vrsta, podvrsta i kategorija rada
Poglavlja u knjigama, znanstveni

Knjiga
Advanced manufacturing systems and technology

Urednik/ci
Kuljanić, Elso

Izdavač
Springer

Grad
Udine

Godina
1999

Raspon stranica
521-528

ISBN
3-211-83148-7

Ključne riječi
neural network, adaptive resonance theory, cellular manufacturing

Sažetak
In order to achieve high productivity under the turbulent production environment, production systems have been changed into cellular manufacturing systems. That involves dividing of production system into some cells by collecting similar products and machines in manufacturing process. In this paper, we show the modification of the binary self-organizing neural network algorithm (ART 1) by changing the weight vector updating equation and using a set of supplementary procedures. The effectiveness of the proposed algorithm is shown by comparing of grouping efficiency with some other well-known approaches.

Izvorni jezik
Engleski

Znanstvena područja
Strojarstvo

POVEZANOST RADA