Predictive Performance of Artificial Neural Network and Multiple Linear Regression Models in Predicting Adhesive Bonding Strength of Wood
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...
Saved in:
| Published in: | Проблемы прочности |
|---|---|
| Date: | 2016 |
| Main Authors: | , , , |
| Format: | Article |
| Language: | English |
| Published: |
Інститут проблем міцності ім. Г.С. Писаренко НАН України
2016
|
| Subjects: | |
| Online Access: | https://nasplib.isofts.kiev.ua/handle/123456789/173559 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Journal Title: | Digital Library of Periodicals of National Academy of Sciences of Ukraine |
| Cite this: | 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. |