Predictive Performance of Artificial Neural Network and Multiple Linear Regression Models in Predicting Adhesive Bonding Strength of Wood

• Veröffentlicht in: Проблемы прочности
• Datum: 2016
• Hauptverfasser: Bardak, S., Tiryaki, S., Bardak, T., Aydin A.
• Format: Artikel
• Sprache: Englisch
• Veröffentlicht: Інститут проблем міцності ім. Г.С. Писаренко НАН України 2016
• Schlagworte: Научно-технический раздел
• Online Zugang: https://nasplib.isofts.kiev.ua/handle/123456789/173559
• Назва журналу: Digital Library of Periodicals of National Academy of Sciences of Ukraine
• Zitieren: Predictive Performance of Artificial Neural Network and Multiple Linear Regression Models in Predicting Adhesive Bonding Strength of Wood / S. Bardak, S. Tiryaki, T. Bardak, A. Aydin // Проблемы прочности. — 2016. — № 6. — С. 95-110. — Бібліогр.: 45 назв. — англ.

The purpose of this study was to develop artificial neural network (ANN) and multiple linear regression (MLR) models that arecapable of predicting the bonding strength of wood base on moisture content, open assembly time and closed assembly time of the joints prior to pressing process. For this purp...