شرکت مهندسی مشاور مهاب قدس، 1380، گزارش اصلی سد مخزنی و نیروگاه برقابی بختیاری – مطالعات مرحله اول.
Baker W.H., 1982, Grouting in geotechnical engineering, American Society of Civil Engineers.
Chang T.C., Chao R.J., 2006, Application of back-propagation networks in debris flow prediction, Eng. Geol., 85: 270-280.
Ewert F.K., 1985, Rock grouting with emphasis on dam sites, Springer-Verlag Ltd., Berlin, Heidelberg, Germany.
Flood I., Kartam N., 1994, Neural networks in civil engineering. I: Principles and understanding, J. Computing in Civil
Engineering, ASCE, 8(2), 131-148.
Foyo A., Sanchez M.A., 2005, Permeability Tests for Rock Masses. A Proposal for a New Expression for the Equivalent Lugeon
Unit (ELU), Dam Engineering, 13(3), 199-218.
Goh A.T.C., 1994, Seismic liquefaction potential assessed by neural network, J. Geotech. & Geoenv. Engrg., ASCE, 120(9), 1467-
1480.
Goh A.T.C., 1995, Back-propagation neural networks for modeling complex systems, Journal of Artificial Intelligence in
Engineering, Elsevier Ltd., 9: 143-151.
Gomez H., Kavzoglu T., 2008, Assessment of shallow landslide susceptibility using artificial neural networks in Jabonosa River
Basin, Venezuela Eng. Geol., 78: 11-27.
Haykin S., 1994, Neural Network: A comprehensive foundation, NY: Macmillan
Hirota Y., Takebayasi S., Shibata I., 1990, Prediction of grout take in dam foundation grouting - a case of Granite, Journal of
Japan Society of Civil Engineering, 13(421): 195-202.
Houlsby A.C., 1990, Construction and design of cement grouting – a guide to grouting in rock foundations, John Wiley & Sons,
New York.
Huang Y., Wanstedt S., 1998, The introduction of neural network system and its application in rock engineering, Engineering
Geology, Elsevier Ltd., 49: 253-260.
Haykin S., 1994, Neural Networks: A Comprehensive Foundation, New York: MacMillan Publishing Company. 696 pp.
Hubick K., 1992, ANNs thinking for industry, Process Control Eng 15(11):36–38
JSIDRE, 1994, The Fundamental Knowledge on Grouting, Japanese Society of Irrigation, Drainage and Reclamation Engineering,
Tokyo.
Kutzner C., 1985, Consideration on rock permeability and grouting criteria, 15th International Congress on Large Dams,
Lausanne, Q.58, R.17.
Lee S., Ryu J.H., Won J.S., Park H.J., 2004, Deternination and application of the weights for landslide susceptibility mapping
using an artificial neural network, Eng. Geol., 71: 289-302.
Maier H.R., Dandy G.C., 2000, Neural networks for the prediction and forecasting of water resources variables: a review of
modelling issues and applications, Environmental Modelling & Software, 15(1), 101-124.
Maji V.B., Sitharam T.G., 2008, Prediction of elastic modulus of jointed rock mass using artificial neural networks, Geotech Geol.
Eng., 26: 443-452.
Millar D., Clarici E., 1994, Investigation of back-propagation artificial neural networks in modelling the stress-strain behaviour of
sandstone rock, IEEE Int Conf Neural Netw 5:3326–3331
Moosavi M., Yazdanpanah M.J., Doostmohammadi R., 2006, Modeling the cyclic swelling pressure of mudrock using artificial
neural networks, Eng. Geol., 87: 178-194.
Moselhi O., Hegazy T., Fazio P., 1992, Potential applications of neural networks in construction, Canadian Journal of Civil
Engineering, 19, 521-529.
Nefeslioglu H.A., Gokceoglu C., Sonmez H., 2008, An assessment on the use of logistic regression and artificial neural networks
with different sampling strategies for the preparation of landslide susceptibility maps, Eng. Geol., 97: 171-191.
Rumelhart D. E., Hinton G. E., Williams R. J., 1986, Learning internal representations by error propagation, In Rumelhart, D. E., McClelland, J. L., and the PDP Research Group, editors, Paralled Distributed Processing. Explorations in the Microstructure of
Cognition. Volume 1: Foundations, pages 318-362. The MIT Press, Cambridge, MA.
Shibata I., 1989, The determination of a rational injection pressure related to in-situ stress in dam foundation grouting, Journal of
Japan Society of Civil Engineering, 16(436): 121-130.
Trippi R.R., Turban E., 1996, Neural Networks in Finance and Investing, Irwin Professional Publishing.
Verfel J., 1989, Rock grouting and diaphragm wall construction, Elsvier Science Pub., 532 pp.
Weaver K., 1991, Dam foundation grouting, Library of Congress Catalog, Card No. 91-34635, American Society of Civil
Engineers.
Yamaguchi Y., Matsumoto N., 1989, Permeability and Lugeon values of dam foundation, Journal of Japan Society of Civil
Engineering, 12(412): 51-60.
Yang, Y., Zhang Q., 1997, A hierarchical analysis for rock engineering using artificial neural networks, Rock Mechanics and Rock
Engineering 30 (4), 207-222.
Yang C. P., 2004, Estimating cement take and grout efficiency on foundation improvement for Li – Yu – Tan dam, Engineering
Geology, 75:1-14.
Zorlu, K., Gokceoglu C., Ocakoglu F., Nefeslioglu H.A., Acikalin S., 2008, Prediction of uniaxial compressive strength of
sandstones using petrography-based models, Eng. Geol., 96: 141-158.
)