Startseite Application of Neural Networks to Analyze the Drawing Process of PET Films
Artikel
Lizenziert
Nicht lizenziert Erfordert eine Authentifizierung

Application of Neural Networks to Analyze the Drawing Process of PET Films

  • H. D. Kim und S. Y. Kim
Veröffentlicht/Copyright: 4. Juni 2013
Veröffentlichen auch Sie bei De Gruyter Brill

Abstract

Multilayer feedforward neural networks with error backpropagation algorithm have been applied to analyze the drawing process of PET films. Six kinds of process conditions, four kinds of material structures and six kinds of material properties were used as inputs and outputs chosen to analyze the relationships between process conditions, material structures and properties. It was shown that the trained neural networks represent a small error between the target and the corresponding estimated values. It has been shown quantitatively that material studies play an intermediate role in the relationship between process conditions, material structures and properties. It was also shown that model-free simulator predictions by neural networks are more reliable than the corresponding conventional non-linear regression analysis in the complex polymer processing.


* Mail address: Hyo Dae Kim, KOLON R&D Center, KOLON Industries Inc., 212 Gong Dan Dong, Gumi, Gyung Sang Buk Do, Korea 730-030, e-mail:

Received: 1996-12-12
Accepted: 1997-5-30
Published Online: 2013-06-04
Published in Print: 1997-12-01

© 1997, Carl Hanser Verlag, Munich

Heruntergeladen am 1.11.2025 von https://www.degruyterbrill.com/document/doi/10.3139/217.970378/html
Button zum nach oben scrollen