Estimation of elastic constant of rocks using an ANFIS approach

McCann, 1992, Determination of Young's modulus of the rock mass from geophysical well logs, Geol. Soc. Lond. Spec. Publ., 65, 317, 10.1144/GSL.SP.1992.065.01.24 John, 1936, Comparison of statically and dynamically determined Young's modulus of rocks, Proc. Nat. Acad. Sci. U.S.A., 22, 81, 10.1073/pnas.22.2.81 Eissa, 1998, Relation between static and dynamic Young's moduli of rocks, Int. J. Rock Mech. Min. Sci. Geomech. Abstr., 25, 479, 10.1016/0148-9062(88)90987-4 Chary, 2006, Evaluation of engineering properties of rock using ultrasonic pulse velocity and uniaxial compressive strength Aali, 2009, Estimation of saturation percentage of soil using multiple regression, ANN, and ANFIS techniques, Comput. Inf. Sci., 2, 127 Gokceoglu, 2004, A neuro-fuzzy model for modulus of deformation of jointed rock masses, Comput. Geotech., 31, 375, 10.1016/j.compgeo.2004.05.001 Tahmasebi, 2010, Application of adaptive neuro-fuzzy inference system for grade estimation; case study, Sarcheshmeh porphyry copper deposit, Kerman, Iran, Aust. J. Basic Appl. Sci., 4, 408 Zadeh, 1965, Fuzzy sets, Inf. Control, 8, 10.1016/S0019-9958(65)90241-X Finol, 2001, A rule based fuzzy model for the prediction of petrophysical rock parameters, J. Pet. Sci. Eng., 29, 97, 10.1016/S0920-4105(00)00096-6 Gokceoglu, 2002, A fuzzy triangular chart to predict the uniaxial compressive strength of the Ankara agglomerates from their petrographic composition, Eng. Geol., 66, 39, 10.1016/S0013-7952(02)00023-6 Gokceoglua, 2004, A fuzzy model to predict the uniaxial compressive strength and the modulus of elasticity of a problematic rock, Eng. Appl. Artif. Intell., 17, 61, 10.1016/j.engappai.2003.11.006 Karakus, 2006, Fuzzy and multiple regression modelling for evaluation of intact rock strength based on point load, Schmidt hammer and sonic velocity, Rock Mech. Rock Eng., 39, 45, 10.1007/s00603-005-0050-y Singh, 2005, A comparative study of ANN and neuro-fuzzy for the prediction of dynamic constant of rockmass, J. Earth Syst. Sci., 114, 75, 10.1007/BF02702010 Grima, 2000, Modeling tunnel boring machine performance by neuro-fuzzy methods, Tunnel. Underground Space Technol., 15, 259, 10.1016/S0886-7798(00)00055-9 Takagi, 1991, NN-driven fuzzy reasoning, Int. J. Approximate Reasoning, 5, 191, 10.1016/0888-613X(91)90008-A Pedrycz, 1984, An identification algorithm in fuzzy relational systems, Fuzzy Sets Syst., 13, 153, 10.1016/0165-0114(84)90015-0 Mandani, 1975, An experiment in linguistic synthesis with a fuzzy controller, Int. J. Man–Mach. Stud., 7, 1, 10.1016/S0020-7373(75)80002-2 Jang, 1992, Fuzzy controllers based on temporal back propagation, IEEE Trans. Neural Netw., 3, 714, 10.1109/72.159060 Lin, 1991, Neural network based fuzzy logic control and decision system, IEEE Trans. Comput., 40, 1320, 10.1109/12.106218 Sugeno, 1988, Structure identification of fuzzy models, Fuzzy Sets Syst., 28, 15, 10.1016/0165-0114(88)90113-3 Takagi, 1985, Fuzzy identification of systems and its applications to modeling and control, IEEE Trans. Syst. Man Cybern., SMC-15, 116, 10.1109/TSMC.1985.6313399 Matlab Manual, Fuzzy Logic Toolbox™ User's Guide, 2009. J.S.R. Jang, Neuro-fuzzy modeling: architecture, analyses and applications, Dissertation, Department of Electrical Engineering and Computer Science, University of California, Berkeley, CA 94720, 1992. Jang, 1993, ANFIS: adaptive-network-based fuzzy inference system, IEEE Trans. Syst. Man Cybern., 23, 665, 10.1109/21.256541 Singh, 2003, Prediction of p-wave velocity and anisotropic property of rock using artificial neural network technique, J. Sci. Ind. Res., 63, 32