شبیه‌سازی تغییرات کیفی آب زیرزمینی با مدل شبکة عصبی مصنوعی (مطالعة موردی: آبخوان کاشان)

 

 

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[4] Coppola, E., Szidarovszky, F., Poulton, M. and Charls, E. (2003). Artificial neural network approach for predicting transient water levels in multilayered groundwater system under variable state, pumping, and climate conditions, Journal of Hydrology, 8(6), 348-380.

[5] Daliakopoulos, I.N., Coulibalya, P. and Tsanis, I.K. (2005). Groundwater level forecasting using artificial neural network, Journal of Hydrology, 309, 229-240.

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[7] Izadi, A., Davari, K., Alizadeh, A., Ghahraman, B. and Haghayeghimoghadam, S.A. (2007). Water Table level prediction using artificial neural network (case study: Plain Neyshapur), Journal of Irrigation and Drainage, 1, 59-71 (In Persian).

[8] Gholami, V., Derakhshan, Sh. and Darvari, Z. (2012). Evaluation of multivariate regression and artificial neural network in simulating groundwater salinity in the coastal Mazandaran province, Journal of Water in Agriculture, 26(3), 354-365 (In Persian).

[9] Jothiprakash, V. and Sakhare, S. (2008). Groundwater level fluctuation using Artificial Neural Network, The 12th International Conference of International Association for Computer Methods and Advances in Geomechanics (IACMAG), 1-6 October, Goa, India, pp. 1750-‏1754.

[10] Ming Kuo, Yi., Wuing Liu, C. and Hung Lin, K. (2004). Evaluation of the ability of an artificial neural network model to assess the variation of groundwater quality in an area of Blackfoot disease in Taiwan, Journal of Water Research, 38, 148-158.

[11] Mirarabi, A. and Nakhae, M. (2008). Prediction of groundwater level fluctuations plain Birjand using artificial neural network, 12th Conference of the Geological Society, Ahwaz, Iran, pp. 1-8 (In Persian).