Prediction of Withdrawal Strength of Nail of Uludag Fir Wood by Using Artificial Neural Network (ANNs)

Fatih Yapıcı; Raşit Esen; Şeref Kurt; Erkan Lıkos; Okan Erkaymaz

TR EN

Prediction of Withdrawal Strength of Nail of Uludag Fir Wood by Using Artificial Neural Network (ANNs)

Öz

Anahtar Kelimeler

-

Kaynakça

BS EN 13446 (2002) Wood-based panels. Determination fasteners. capacity of
Örs,Y., Efe, H., Kasal, A., (1999) Effect of corner wooden wedge geometry on bending strength in dismountable leg and table joints of furniture, I. International furniture congress and Exhibition, 457-471.
Eckelman, C., (1990) Fasteners and Their Use in Particleboard and Medium Density Fiberboard. National Particleboard” Association. Purdue University; March 30.
İmirzi, Ö. H., (2000) Mechanical properties of massive furniture “T” joints with frame construction, UniversityIinstitute of Science and technology, Ankara. Thesis, Gazi
Örs,Y., Özen, R., Doğanay, S., (1998) Screw holding ability (strength) of wood materials used in furniture manufacture, Turkish J. agriculture and forestry, 22: 29-34.
Ozçifçi A., Doğanay S., (1999) Withdrawal Strength of Some Screws and Nails in Waferboard and Picea or Oriental Beech” Journal of Agriculture and Foresty Tubitak 23: (5), 1207- 1213.
Yapıcı, F., Gündüz, G., Özçifçi, A., Likos, E., (2009) Prediction of Screw and Nail Withdrawal Strength on OSB (Oriented Strand Board) Panels With Fuzzy Classifier, Technology, 12 (3):167- 174.
Vosniakos, G.C., Benardos, P.G., (2007) Optimizing Network Architecture. Eng. Appl. Artif. Intell. 20 (3): 365–382. Artificial Neural
Tou, J.Y., Lau, P.Y., Tay, Y. H., (2007) Computer System, Proceedings of International Workshop on Advanced Image Technology (IWAIT), 197- 202, Bangkok, Thailand. Wood Recognition
Marzuki Khalid, M., Lee, E.L.Y., Rubiyah Y., and Miniappan N., (2008), Design of an Intelligent Wood Species Recognition System, International Journal of Simulation: Systems, Science & Technology, Vol. 9, No. 3.

Zhang, S.Y., Liu, C., and Jiang Z.H., (2006), Modeling product recovery in relation to selected tree characteristics in black spruce using an optimized random sawing simulator, Forest Products Journal, Vol. 56, No. 11-12, 93-99.
Packianather M. S., and Drake, P. R., (2000) Neural networks for classifying images of wood veneer. Part 2, The International Advanced Manufacturing Technology, 16:424-433.
Xu, X., Yu, Z.T., Hu, Y. C., Fan, L.W., Tian, T., calculation of wood thermal conductivity using neural Networks, Zhejiang University Press, Vol. 41, Issue. 7, 1201–1204. Nonlinear fitting
Samarasinghe, S., Kulasiri, D., Jamieson, T., (2007), Neural Networks for predicting fracture toughness of individual wood samples, Silva Fennica, 41(1): 105–122.
Shawn D. M., Lazaros I., Stavros A., (2007) Avramidis Neural network prediction of bending strength and stiffness in western hemlock (Tsuga heterophylla Raf.), Holzforschung, Vol. 61, Issue. 6, 2007, 707-716.
Stavros, A., Hongwei W., (2007) Artificial neural network and mathematical modeling comparative analysis of non-isothermal diffusion of moisture in wood, Holz als Roh- und Werkstoff, 65: 89–93.
TS EN 323 (1999) Wood–based panels – determination of density. Turkish Standards, TSE, Ankara.
TS EN 322 (1999) Wood–based panels – determination of moisture content. Turkish Standards, TSE, Ankara.
TS EN 13446 (2005) Wood–based panels – determination of withdrawal capacity of fasteners, Turkish Standards, TSE, Ankara.

Ayrıntılar

Birincil Dil

Türkçe

Konular

-

Bölüm

-

Yazarlar

Fatih Yapıcı Bu kişi benim

Raşit Esen Bu kişi benim

Şeref Kurt Bu kişi benim

Erkan Lıkos Bu kişi benim

Okan Erkaymaz Bu kişi benim

Yayımlanma Tarihi

1 Eylül 2012

Gönderilme Tarihi

24 Aralık 2014

Kabul Tarihi

-

Yayımlandığı Sayı

Yıl 2012 Cilt: 12 Sayı: 3

IZ

https://izlik.org/JA37KX34SX

APA

Yapıcı, F., Esen, R., Kurt, Ş., Lıkos, E., & Erkaymaz, O. (2012). Prediction of Withdrawal Strength of Nail of Uludag Fir Wood by Using Artificial Neural Network (ANNs). Kastamonu University Journal of Forestry Faculty, 12(3), 131-134. https://izlik.org/JA37KX34SX

AMA

1.Yapıcı F, Esen R, Kurt Ş, Lıkos E, Erkaymaz O. Prediction of Withdrawal Strength of Nail of Uludag Fir Wood by Using Artificial Neural Network (ANNs). Kastamonu University Journal of Forestry Faculty. 2012;12(3):131-134. https://izlik.org/JA37KX34SX

Chicago

Yapıcı, Fatih, Raşit Esen, Şeref Kurt, Erkan Lıkos, ve Okan Erkaymaz. 2012. “Prediction of Withdrawal Strength of Nail of Uludag Fir Wood by Using Artificial Neural Network (ANNs)”. Kastamonu University Journal of Forestry Faculty 12 (3): 131-34. https://izlik.org/JA37KX34SX.

EndNote

Yapıcı F, Esen R, Kurt Ş, Lıkos E, Erkaymaz O (01 Eylül 2012) Prediction of Withdrawal Strength of Nail of Uludag Fir Wood by Using Artificial Neural Network (ANNs). Kastamonu University Journal of Forestry Faculty 12 3 131–134.

IEEE

[1]F. Yapıcı, R. Esen, Ş. Kurt, E. Lıkos, ve O. Erkaymaz, “Prediction of Withdrawal Strength of Nail of Uludag Fir Wood by Using Artificial Neural Network (ANNs)”, Kastamonu University Journal of Forestry Faculty, c. 12, sy 3, ss. 131–134, Eyl. 2012, [çevrimiçi]. Erişim adresi: https://izlik.org/JA37KX34SX

ISNAD

Yapıcı, Fatih - Esen, Raşit - Kurt, Şeref - Lıkos, Erkan - Erkaymaz, Okan. “Prediction of Withdrawal Strength of Nail of Uludag Fir Wood by Using Artificial Neural Network (ANNs)”. Kastamonu University Journal of Forestry Faculty 12/3 (01 Eylül 2012): 131-134. https://izlik.org/JA37KX34SX.

JAMA

1.Yapıcı F, Esen R, Kurt Ş, Lıkos E, Erkaymaz O. Prediction of Withdrawal Strength of Nail of Uludag Fir Wood by Using Artificial Neural Network (ANNs). Kastamonu University Journal of Forestry Faculty. 2012;12:131–134.

MLA

Yapıcı, Fatih, vd. “Prediction of Withdrawal Strength of Nail of Uludag Fir Wood by Using Artificial Neural Network (ANNs)”. Kastamonu University Journal of Forestry Faculty, c. 12, sy 3, Eylül 2012, ss. 131-4, https://izlik.org/JA37KX34SX.

Vancouver

1.Fatih Yapıcı, Raşit Esen, Şeref Kurt, Erkan Lıkos, Okan Erkaymaz. Prediction of Withdrawal Strength of Nail of Uludag Fir Wood by Using Artificial Neural Network (ANNs). Kastamonu University Journal of Forestry Faculty [Internet]. 01 Eylül 2012;12(3):131-4. Erişim adresi: https://izlik.org/JA37KX34SX

Prediction of Withdrawal Strength of Nail of Uludag Fir Wood by Using Artificial Neural Network (ANNs)

Öz

Anahtar Kelimeler

Prediction of Withdrawal Strength of Nail of Uludag Fir Wood by Using Artificial Neural Network (ANNs)

Öz

Anahtar Kelimeler

Kaynakça

Ayrıntılar

Birincil Dil

Konular

Bölüm

Yazarlar

Yayımlanma Tarihi

Gönderilme Tarihi

Kabul Tarihi

Yayımlandığı Sayı

IZ

Kaynak Göster