ارزیابی کارایی شبکه‌های عصبی مصنوعی در مدل‌سازی زمان وینچینگ Timber Jack 450 C

[1]. Sarikhani, N. (2008). Forest Utilization. 3ed, University of Tehran Press, Tehran, Iran.

[2]. Davis, C. T. and Kellogg, L. D. (2005) Measuring machine productivity with the multiDat datalogger: a demonstration on three forest machines. Council on Forest Engineering Conference Proceedings.

[3]. Wang, J., McNeel, J., and Baumgras, J. (2003). A computer-based time study system for timber harvesting operations. Forest Products Journal, 53(3): 47-53.

[4]. Naghdi, R., Nikooy, M., Mohammadi Limaei, S., and Shormage, Y. (2010). Evaluation of felling productivity in Shafarood forest (Guilan Province). Iranian Journal of Forest And Poplar Research, 18(3): 417-425.

[5]. Pir Ba Vaghar , M., Sobhani, H., Feghhi, J., Darvishsefat, A. A., and Marvi Mohajer, M. R. (2008). Investigation on production rate and cost of Timberjack-450C in two skidding direction in combined harvesting system. Iranian Journal of Forest and Poplar Research, 15(4): 374-385.

[6]. Eghtesadi, A. (2008). Evaluation of Wood Productivity Rate in Primary and Secondary Transportation in Nekachub Region. Iranian Journal of Forest and Poplar Research, 16(2): 274-291.

[7]. Egan, A. F. and Baumgras, J. E. (2003). Ground skidding and harvested stand attributes in Appalachian hardwood stands in West Virginia. Forest Products Journal, 53(9): 59-63.

[8]. Adams, T. C. (1965). High-lead logging costs as related to log size and other variables. USFS Res. Pap. Pacific. Northwest. For. Range Exp. Sta. No. PNW-23.

[9]. Menhaj, M. B. (2002). Neural Network Basis, Amir Kabir Industrial University Publication, Tehran, Iran.

[10]. Özçelik, R., Diamantopoulou, M. J., Brooks, J. R., and Wiant, H. V. (2010). Estimating tree bole volume using artificial neural network models for four species in Turkey. Journal of environmental management, 91(3): 742-753.

[11]. Karaman, A. and Çalışkan, E. (2009). Affective factors weight estimation in tree felling time by artificial neural networks. Expert Systems with Applications, 36(3): 4491-4496.

[12]. Bayati, H., Najafi, A., and Abdolmaleki, P. (2013). Comparison between Artificial Neural Network (ANN) and Regression Analysis in Tree Felling Time Estimation). Iranian Journal of Forest and Poplar Research, 20(4): 595-607.

[13]. Bayati, H. and Najafi, A. (2013). Performance comparison Artificial Neural Networks with regression analysis in trees trunk volume estimation. Journal of Forest and Wood Products, 66(2): 177-191.

[14]. FRO. (2008). Forestry Plan Notebook, District 2, watershed 75, Neka-Zalem rood, Neka Choob Forest Co, Forests andRanges Organization, Sari, Iran.

[15]. Gardner, R. W. (1963). New tools to hone harvesting. Pulp and Paper. April, 29 73-75.

[16]. Strobl, R. O. and Forte, F. (2007). Artificial neural network exploration of the influential factors in drainage network derivation. Hydrological processes, 21(22): 2965-2978.

[17]. Rumelhart, D. E., McClelland, J. L., and Group, U. o. C. S. D. P. R. (1986). Parallel distributed processing : explorations in the microstructure of cognition, MIT Press, Cambridge, Mass.

[18]. Kia, M. (2010). Neural network in MATLAB. Kian Rayaneh Sabz, Tehran.