Application of artificial neural networks for the prediction of traction performance parameters

Bouabaz, 2008, A cost estimation model for repair bridges based on artificial neural network, American Journal of Applied Science, 5, 334, 10.3844/ajassp.2008.334.339 Graupe, D., 2007. Principles of artificial neural networks. ln: Circuits and Systems, second ed. World Scientific Advanced Series, USA, p. 303. Haykin, 1999 Jaiswal, 2005, Neural network modelling and sensitivity analysis of a mechanical poultry catching system, Biosystems Engineering, 92, 59, 10.1016/j.biosystemseng.2005.05.007 Mardani, 2010, Studies on a long soil bin for soil-tool interactions, Cercetări Agronomice în Moldova, 2, 5 Roul, 2009, Predicting the draught requirement of tillage implements in sandy clay loam soil using an artificial neural network, Biosystems Engineering, 104, 476, 10.1016/j.biosystemseng.2009.09.004 Taghavifar, 2012, Contact area determination of agricultural tractor wheel with soil, Cercetări Agronomice în Moldova, 2, 15, 10.2478/v10298-012-0010-0 Wong, 1984, On the study of wheel-soil interaction, Journal of Terramechanics, 21, 117, 10.1016/0022-4898(84)90017-X Zhang, 1999, Application of neural networks to simulate soil tool interaction and soil behavior, Canadian Agricultural Engineering, 41, 119