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)

Abstract

Keywords

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References

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.

Details

Primary Language

Turkish

Subjects

-

Journal Section

-

Authors

Fatih Yapıcı This is me

Raşit Esen This is me

Şeref Kurt This is me

Erkan Lıkos This is me

Okan Erkaymaz This is me

Publication Date

September 1, 2012

Submission Date

December 24, 2014

Acceptance Date

-

Published in Issue

Year 2012 Volume: 12 Number: 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, and 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 (September 1, 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, and O. Erkaymaz, “Prediction of Withdrawal Strength of Nail of Uludag Fir Wood by Using Artificial Neural Network (ANNs)”, Kastamonu University Journal of Forestry Faculty, vol. 12, no. 3, pp. 131–134, Sept. 2012, [Online]. Available: 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 (September 1, 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, et al. “Prediction of Withdrawal Strength of Nail of Uludag Fir Wood by Using Artificial Neural Network (ANNs)”. Kastamonu University Journal of Forestry Faculty, vol. 12, no. 3, Sept. 2012, pp. 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]. 2012 Sep. 1;12(3):131-4. Available from: https://izlik.org/JA37KX34SX

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

Abstract

Keywords

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

Abstract

Keywords

References

Details

Primary Language

Subjects

Journal Section

Authors

Publication Date

Submission Date

Acceptance Date

Published in Issue

IZ

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