Modeling and Comparison of Bonding Strength of Impregnated Wood Material by Using Different Methods: Artificial Neural Network and Multiple Linear Regression
Yazarlar (6)
Ilker Akyöz Karadeniz Technical University, Türkiye
Nadir Ersen Artvin Coruh University, Türkiye
Dr. Öğr. Üyesi Sebahattin Tiryaki Karadeniz Technical University, Türkiye
Doç. Dr. Bahadır Çağrı BAYRAM Kastamonu Üniversitesi, Türkiye
Kadri Cemil Akyöz Karadeniz Technical University, Türkiye
Höseyin Peker Artvin Coruh University, Türkiye
| Makale Türü | Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale) | ||
| Dergi Adı | Wood Research (Q3) | ||
| Dergi ISSN | 1336-4561 Wos Dergi Scopus Dergi | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | İngilizce | Basım Tarihi | 01-2019 |
| Cilt / Sayı / Sayfa | 64 / 3 / 483–498 | DOI | – |
| Makale Linki | http://www.woodresearch.sk/wr/201903/10.pdf | ||
| Özet |
| In this study, the effects of vacuum time, diffusion time and pressing time on the bonding strength of Larix decidua wood impregnated with Immersol-Aqua and bonded with Klebit-303 were investigated. The vacuum time, diffusion time, and pressing time were predicted by using |
| Anahtar Kelimeler |
| Artificial neural network | bonding strength | Impregnation | MLR |
