Investigation and neural network prediction of wood bonding quality based on pressing conditions

Bardak S., TİRYAKİ S., NEMLİ G., AYDIN A.

International Journal of Adhesion and Adhesives, cilt.68, ss.115-123, 2016 (SCI-Expanded, Scopus)

• Yayın Türü: Makale / Tam Makale
• Cilt numarası: 68
• Basım Tarihi: 2016
• Doi Numarası: 10.1016/j.ijadhadh.2016.02.010
• Dergi Adı: International Journal of Adhesion and Adhesives
• Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
• Sayfa Sayıları: ss.115-123
• Anahtar Kelimeler: Neural network, Bonding strength, Prediction, Pressing conditions, PVAc, Wood, SHEAR-STRENGTH, POLYVINYL ACETATE, ADHESIVE BOND, PARTICLEBOARD, JOINTS, OPTIMIZATION, TEMPERATURE, PERFORMANCE, PARAMETERS
• Karadeniz Teknik Üniversitesi Adresli: Evet