[1] T.W. Kahl, J.L. Kauschinger, E.B. Perry, Repair, Evaluation, Maintenance, and Rehabilitation Research Program: Plastic Concrete Cutoff Walls for Earth Dams, DTIC Document, 1991.
[2] L.M. Hu, D.Y. Gao, Y.Z. Li, S.Q. Song, Analysis of the Influence of Long Curing Age on the Compressive Strength of Plastic Concrete, in: Advanced Materials Research, Trans Tech Publ, 2012, pp. 200-203.
[3] ICOLD, Filling materials for watertight cut off walls. Bulletin, in, International Committee of Large Dams, Paris, France, 1995.
[4] S.L. Garvin, C.S. Hayles, The chemical compatibility of cement–bentonite cut-off wall material, Construction and Building Materials, 13(6) (1999) 329-341.
[5] D. Koch, Bentonites as a basic material for technical base liners and site encapsulation cut-off walls, Applied Clay Science, 21(1) (2002) 1-11.
[6] M. Naderi, Effect of different constituent materials on the properties of plastic concrete, International Journal of Civil Engineering, 3(1) (2005) 10-19.
[7] D.Y. Gao, K. Yan, L.M. Hu, S.Q. Song, Influence of bentonite types on the properties of plastic concrete Journal of Hydroelectric Engineering, 28(3) (2009) 112-116.
[8] A. Tahershamsi, A. Bakhtiyari, N. Binazadeh, Effects of clay mineral type and content on compressive strength of plastic concrete (In Persian), Iranian Journal of Mining Engineering, 4(7) (2009) 35-42.
[9] G.Q. Ding, L.H. Jiang, H.Q. Chu, Q. Zhu, Influences of types and dosage of bentonite on properties of plastic concrete, Advances in Science and Technology of Water Resources, 31(2) (2011) 34-37.
[10] A. Pashazadeh, M. Chekani Azar, Estimating an Appropriate Plastic Concrete Mixing Design for Cutoff Walls to Control Leakage under the Earth Dam, Journal of Basic and Applied Scientific Research, 1(9) (2011) 1295-1299.
[11] A.A. Ata, T.N. Salem, N.M. Elkhawas, Properties of soil–bentonite– cement bypass mixture for cutoff walls, Construction and Building Materials, 93 (2015) 950-956.
[12] J.L. García-Siñeriz, M.V. Villar, M. Rey, B. Palacios, Engineered barrier of bentonite pellets and compacted blocks: State after reaching saturation, Engineering Geology, 192 (2015) 33-45.
[13] P. Zhang, Q.Y. Guan, Q.F. Li, Mechanical Properties of Plastic Concrete Containing Bentonite, Research Journal of Applied Sciences, Engineering and Technology, 5(4) (2013) 1317-1322.
[14] Y. Yu, J. Pu, K. Ugai, Study of mechanical properties of soil-cement mixture for a cut-off wall, Soils Found, 37(4) (1997) 93-103.
[15] H. Abbaslou, A.R. Ghanizadeh, A.T. Amlashi, The compatibility of bentonite/sepiolite plastic concrete cut-off wall material, Construction and Building Materials, 124 (2016) 1165-1173.
[16] S. Hinchberger, J. Weck, T. Newson, Mechanical and hydraulic characterization of plastic concrete for seepage cut-off walls, Canadian Geotechnical Journal, 47(4) (2010) 461-471.
[17] L.M. Hu, stress-strain relation model and failure criterion of plastic concrete under compression (In Chinese), Material processing engineering school of materials science and engineering, Zhengzhou, China, 2012.
[18] A. Mahboubi, A. Ajorloo, Experimental study of the mechanical behavior of plastic concrete in triaxial compression, Cement and concrete research, 35(2) (2005) 412-419.
[19] A. Mahboubi, M. Anari, Effects of Mixing Proportions and Sample Age on Mechanical Properties of Plastic Concrete; An Experimental Study, in: First international conference on concrete technology, Tabriz, Iran, 2009.
[20] Y.P. Pisheh, S.M.M. Hosseini, Stress-strain behavior of plastic concrete using monotonic triaxial compression tests, Journal of Central South University, 19(4) (2012) 1125-1131.
[21] J.S. Chou, C.K. Chiu, M. Farfoura, I. Al-Taharwa, Optimizing the prediction accuracy of concrete compressive strength based on a comparison of data-mining techniques, Journal of Computing in Civil Engineering, 25(3) (2010) 242-253.
[22] F.F. Martins, A. Camões, Prediction of compressive strength of concrete containing fly ash using data mining techniques, (2013).
[23] M. Ebrahimi, A.A. Niknafs, Increasing Cement Strength Using Data Mining Techniques, in: International Conference Data Mining, Civil and Mechanical Engineering (ICDMCME), Bali (Indonesia), 2015
[24] N.N. Eldin, A.B. Senouci, Measurement and prediction of the strength of rubberized concrete, Cement and Concrete Composites, 16(4) (1994) 287-298.
[25] M.H. Fazel Zarandi, I.B. Türksen, J. Sobhani, A.A. Ramezanianpour, Fuzzy polynomial neural networks for approximation of the compressive strength of concrete, Applied Soft Computing, 8(1) (2008) 488-498.
[26] D.K. Kim, J.J. Lee, J.H. Lee, S.K. Chang, Application of Probabilistic Neural Networks for Prediction of Concrete Strength, Journal of Materials in Civil Engineering, 17(3) (2005) 353-362.
[27] J.J. Lee, D. Kim, S.K. Chang, C.F.M. Nocete, An improved application technique of the adaptive probabilistic neural network for predicting concrete strength, Computational Materials Science, 44(3) (2009) 988- 998.
[28] R. Madandoust, R. Ghavidel, N. Nariman Zadeh, Evolutionary design of generalized GMDH-type neural network for prediction of concrete compressive strength using UPV, Computational Materials Science, 49(3) (2010) 556-567.
[29] R. Madandoust, J.H. Bungey, R. Ghavidel, Prediction of the concrete compressive strength by means of core testing using GMDH-type neural network and ANFIS models, Computational Materials Science, 51(1) (2012) 261-272.
[30] J. Kasperkiewicz, J. Racz, A. Dubrawsk, HPC Strength Prediction Using Artificial Neural Network, Journal of Computing in Civil Engineering, 9(4) (1995) 279-284.
[31] İ.B. Topçu, M. Sarıdemir, Prediction of properties of waste AAC aggregate concrete using artificial neural network, Computational Materials Science, 41(1) (2007) 117-125.
[32] S. Subaşı, Prediction of mechanical properties of cement containing class C fly ash by using artificial neural network and regression technique, Sci Res Essay, 4(4) (2009) 289-297.
[33] S.J.S. Hakim, J. Noorzaei, M. Jaafar, M. Jameel, M. Mohammadhassani, Application of artificial neural networks to predict compressive strength of high strength concrete, Int. J. Phys. Sci, 6(5) (2011) 975-981.
[34] A. Nazari, H. Hajiallahyari, A. Rahimi, H. Khanmohammadi, M. Amini, Prediction compressive strength of Portland cement-based geopolymers by artificial neural networks, Neural Comput & Applic, (2012) 1-9.
[35] S. Kostić, D. Vasović, Prediction model for compressive strength of basic concrete mixture using artificial neural networks, Neural Comput & Applic, 26(5) (2015) 1005-1024.
[36] J.F. Moretti, C.R. Minussi, J.L. Akasaki, C.F. Fioriti, J.L.P. Melges, M.M. Tashima, Prediction of modulus of elasticity and compressive strength of concrete specimens by means of artificial neural networks, Acta Scientiarum. Technology, 38(1) (2016) 65-70.
[37] A. Sadrmomtazi, J. Sobhani, M. Mirgozar, Modeling compressive strength of EPS lightweight concrete using regression, neural network and ANFIS, Construction and Building Materials, 42 (2013) 205-216.
[38] J. Sobhani, M. Khanzadi, A. Movahedian, Support vector machine for prediction of the compressive strength of no-slump concrete, Computers and Concrete, 11(4) (2013) 337-350.
[39] S. Tesfamariam, H. Najjaran, Adaptive network–fuzzy inferencing to estimate concrete strength using mix design, Journal of materials in civil engineering, 19(7) (2007) 550-560.
[40] M.Y. Cheng, J.S. Chou, A.F. Roy, Y.W. Wu, High-performance concrete compressive strength prediction using time-weighted evolutionary fuzzy support vector machines inference model, Automation in Construction, 28 (2012) 106-115.
[41] S. Motamedi, S. Shamshirband, D. Petković, R. Hashim, Application of adaptive neuro-fuzzy technique to predict the unconfined compressive strength of PFA-sand-cement mixture, Powder Technology, 278 (2015) 278-285.
[42] S.S. Gilan, H.B. Jovein, A.A. Ramezanianpour, Hybrid support vector regression–Particle swarm optimization for prediction of compressive strength and RCPT of concretes containing metakaolin, Construction and Building Materials, 34 (2012) 321-329.
[43] Z. Yuan, L.N. Wang, X. Ji, Prediction of concrete compressive strength: Research on hybrid models genetic based algorithms and ANFIS, Advances in Engineering Software, 67 (2014) 156-163.
[44] A. Nazari, J.G. Sanjayan, Modelling of compressive strength of geopolymer paste, mortar and concrete by optimized support vector machine, Ceramics International, 41(9, Part B) (2015) 12164-12177.
[45] M. Nikoo, F. Torabian Moghadam, Ł. Sadowski, Prediction of concrete compressive strength by evolutionary artificial neural networks, Advances in Materials Science and Engineering, 2015 (2015).
[46] Y. Ayaz, A.F. Kocamaz, M.B. Karakoç, Modeling of compressive strength and UPV of high-volume mineral-admixtured concrete using rule-based M5 rule and tree model M5P classifiers, Construction and Building Materials, 94 (2015) 235-240.
[47] J. Kennedy, R.C. Eberhart, Particle swarm optimization, in: In: Proceedings of IEEE international conference on neural networks, 1995, pp. 1942–1948.
[48] S.S. Haykin, Neural networks: a comprehensive foundation, Tsinghua University Press, 2001.
[49] J.A. Freeman, D.M. Skapura, Neural Networks: Algorithms, Applications and Programming Techniques, Addison-Wesley Publishing Company, 1992.
[50] D.E. Rumelhart, G.E. Hintont, R.J. Williams, Learning representations by back-propagating errors Nature, 323 (1986) 533-536.
[51] P. Werbos, Beyond regression: new tools for prediction and analysis in the behavioral sciences, Harvard University, Cambridge, 1974.
[52] V. Vapnik, S.E. Golowich, A. Smola, Support vector method for function approximation, regression estimation, and signal processing, Advances in neural information processing systems, (1997) 281-287. [53] V.N. Vapnik, V. Vapnik, Statistical learning theory, Wiley New York, 1998.
[54] J.S.R. Jang, ANFIS: adaptive-network-based fuzzy inference system, IEEE transactions on systems, man, and cybernetics, 23(3) (1993) 665- 685.
[55] J.S.R. Jang, C.T. Sun, E. Mizutani, Neuro-fuzzy and soft computing; a computational approach to learning and machine intelligence, (1997).
[56] T. Takagi, M. Sugeno, Fuzzy identification of systems and its applications to modeling and control, IEEE transactions on systems, man, and cybernetics, (1) (1985) 116-132.
[57] D.M. Moore, R.C. Reynolds, X-ray Diffraction and the Identification and Analysis of Clay Minerals, Oxford university press Oxford, 1989.
[58] ICOLD, Soil-Cement, in, International Committee of Large Dams, Paris, France, 1986.
[59] M. Fathinaz, Assessment the effect of bentonite and soil lateral pressure on the stress-strain behavior of plastic concrete cut-off walls (In Persian), Faculty of Civil and Environmental Engineering, Amirkabir University of Technology, Tehran, Iran, 1998.
[60] A. Bagheri, M. Abdi, M. Mombeyni, Increasing the formability of plastic concrete without reducing strength by optimizing the volume of bentonite and cement slurry in the mix (In Persian), in: 6th international conference of civil engineering, Isfahan University of Technology, Isfahan, Iran, 2003.
[61] Q.F. Li, P. Zhang, Experimental research on strength of plastic concrete (In Chinese), concrete, (5) (2006) 75-79.
[62] M. Shahbaznia, M. Shokrchizadeh, Mix design of plastic concrete cutoff wall of Reservoir Dam Project in Duiraj city, in: 2nd National Conference of Dam and Hydropower Plants, Iran Water Resources and Power Development Company, Tehran, Iran, 2008.
[63] A. Ajam, R. Mohajeri Borjghaleh, Evaluation the effect of water-cement ratio on the plastic concrete cutoff walls using in dams (In Persian), in: First national conference of structure-earthquake-geotechnic, 2010.
[64] B. Hamdollah, M. Khanmohammadi, Experimental study on the possibility of using plastic concretes containing silica fume in structural members, in: 2nd National Conference of Concrete, Tehran, Iran, 2010.
[65] S.Q. Song, D.Y. Gao, K. Yan, L.M. Hu, Influece of the cementitious materials on the strength of plastic concrete, Concrete, (6) (2010) 86-88.
[66] S.H. Mousavi, H.S. Kazran, M.F. Maghrebi, The use of plastic concrete with specified aggregate in the implementation of concrete lining (In Persian), in: First national conference on civil engineering, Zibakenar, Iran, 2012.
[67] E. Dabir, Experimental evaluation of the effect of bentonite on the compressive strength, modulus of elasticity and permeability of plastic concrete (In Persian), in: 15th national conference of civil engineering students, University of Urmia, Urmia, Iran, 2014.
[68] S. Azemi, Plastic concrete cutoff walls in earth dams: a perspective of arid environment clay mineral resources, Faculty of Civil Engineering, Sirjan Univesity of Technology, Sirjan, Iran, 2015.
[69] P. Zhang, Q.F. Li, Experimental Research on Tensile Strength of Plastic Concrete, Water Power, (2) (2008) 64-66.
[70] Q.Y. Guan, P. Zhang, Effect of Clay Dosage on Mechanical Properties of Plastic Concrete, in: Advanced Materials Research, Trans Tech Publ, 2011, pp. 664-667.
[71] K. Levenberg, A method for the solution of certain non-linear problems in least squares, Quarterly of applied mathematics, 2(2) (1944) 164-168.
[72] D.W. Marquardt, An algorithm for least-squares estimation of nonlinear parameters, Journal of the society for Industrial and Applied Mathematics, 11(2) (1963) 431-441.
[73] Y. Yang, Q. Zhang, A hierarchical analysis for rock engineering using artificial neural networks, Rock Mechanics and Rock Engineering, 30(4) (1997) 207-222.