Allen R. G., Pereira, L. S., Raes, D., and Smith, M. (1998), Crop evapotranspiration. Guidelines for computing crop water requirements. Irrigation and drainage paper no. 56. FAO, Rom, 300p.
Bruton, J. M., Mcclendon, R. W. and Hoogenboom, G. (2000), “Estimating daily pan evaporation with artificial neural networks”, Trans ASAE, 43 (2), pp. 491–496.
Grismer, M. E., Orang, M., Snyder, R., and Matyac, R. (2002), “Pan evaporation to reference evapotranspiration conversion methods”,120 J Irrig Drain Eng, pp. 180–184.
Hagan, M. T. and Menhaj, M. B. (1994), “Training feedforward networks with the Marquardt algorithm”, IEEE Trans Neural Netw, 5, pp. 989–993.
Hornik, K., Stinchcombe, M. and White, H. (1989), “Multilayer feedforward networks are universal pproximators”, Neural Network, 2, pp. 359–366.
Irmak, S., Haman, D., and Jones, W. (2002), “Evaluation of Class A pan coefficients for estimating reference evapotranspiration in humid location”, J Irrig Drain Eng, 128(3), pp.153–159.
Keskin, M. E. and Terzi O. (2006), “Artificial neural network models of daily pan evaporation”, J Hydrol Eng, 11(1), pp.65–70.
Kumar, M., Raghuwanshi, N. S., Singh, R., Wallender, W. W., Pruitt, W. O. (2002), “ Estimating evapotranspiration using artificial neural network”, J Irrig Drain Eng, 128(4), pp.224–233.
Penman, H. L. (1948), “Natural evaporation from open water, bare soil and grass”, Proceedings of the Royal Meteorological Society, pp. 120–146.
Rahimikhoob,A. (2008a), “Comparative study of Hargreaves’s and artificial neural network’s methodologies in estimating reference evapotranspiration in a semiarid environment”, Irrig. Sci., 26(3), pp. 253-259.
Rahimikhoob, A. (2008b),”Artificial neural network estimation of reference evapotranspiration from pan evaporation in a semi-arid environment”, Irrig. Sci., 27(1), pp. 35-39.
Sudheer K. P., Gosain, A. K. and Ramasastri, K. S. (2003), “Estimating actual evapotranspiration from limited climatic data using neural computing technique”, J Irrig Drain Eng, 29(3), pp.214-218.
Tan, Y. and Van Cauwenberghe, A. (1999), “Neural-network-based d-stepahead predictors for nonlinear systems with time delay”, Eng. Appl. Artif. Intel, 12, pp. 21–25.
Zanetti, S., Sousa, E., Oliveira, V., Almeida, F., Bernard, S. (2007), “Estimating evapotranspiration using artificial neural network and minimum climatological data”, J Irrig Drain Eng, 133(2), pp.83–89