Neural Net Prediction Analysis for Rock Mass Elastic Modulus Based on Joint Fissure Characteristics
Carpenter WC, Barthelemy JF. Common misconceptions about neural networks as approximators. Journal of Computing in Civil Engineering 1994; 8(3):345-58.
Fan JW, Liu Y, Liu LL, Yang SR. Hydrodynamics of residual oil droplet displaced by polymer solution in micro-channels of lipophilic rocks, International Journal of Heat and Technology 2017; 35(1): 611-18.
Fichera A, Pagano A. A neural tool for the prediction of the experimental dynamics of two-phase flows, International Journal of Heat and Technology 2017; 35(2): 235-42.
Gao LX, Luo YG, Yang XJ. Study on artificial neural network method for calculation the coefficient of loess collapsibility. Journal of Dalian Nationalities University 2006; (5): 24-26.
Ghritlahre HK, Prasad RK. Investigation on heat transfer characteristics of roughened solar air heater using ANN technique, International Journal of Heat and Technology 2018; 36(1): 102-10.
Guo B, Deng X. Intelligent fusion method based on BP neural network for robot suit pressure sensing array data. International Journal Bioautomation 2017; 21(S4): 305-316
Guo WB, Deng KZ, Zou YF. Study on artificial neural network method for calculation of subsidence coefficient. Chinese Journal of Geotechnical Engineering 2003; (2): 212-15.
Hao XL, Li W, Sun ZY, Zhu SJ, Yan S, Zhao Z. Detection of ball grid array solder joints based on adaptive template matching. International Journal of Heat and Technology 2018; 36(1): 189-94.
Hu LJ, Tang L, Pan Q, Song H, Wen PG. Research and analysis of PI control strategy based on neural network in power grid, Mathematical Modelling of Engineering Problems 2016; 3(1): 25-28.
Ike CC. Exponential fourier integral transform method for stress analysis of boundary load on soil. Mathematical Modelling of Engineering Problems 2018; 5(1): 33-39.
Isah OR, Usman AD, Tekanyi AMS. A hybrid model of PSO algorithm and artificial neural network for automatic follicle classification. International Journal Bioautomation 2017; 21(1): 43-58
Kou XL. The research status of mechanical parameters of engineering rock mass is reviewed. West-china Exploration Engineering 2008; 9(5): 33-36.
Li YS. Research on rock mass mechanics parameters and their Acquisition method system for highway cut slope --- select highway cut slope in Guizhou Province as a case. Chengdu: Chengdu University of Technology, 2003.
Liu XY. Discussion on neural network application in civil engineering. Chinese Journal of Geotechnical Engineering 2003; (4): 514-16.
Liu Y, Tian Y, Chen M. Research on the prediction of carbon emission based on the chaos theory and neural network. International Journal Bioautomation 2017; 21(S4): 339-48.
Messaoud H, Bachir M, Djamel S. Numerical study of mixed convection and flow pattern in various across-shape concave enclosures. International Journal of Heat and Technology 2017; 35(1): 567-75.
Mohammadi H, Rahmannejad R. The estimation of rock mass deformation modulus using regression and artificial neural network analysis. Arabian Journal Science & Engineering 2010; 35(1): 205-17.
Mohammed B, Ali B. Modeling the problem of contact and friction between a body elastic and rigid foundation. Mathematical Modelling of Engineering Problems 2016; 3(4): 191-94.
Ravandi EG, Rahmannejad R, Monfared AEF, Ravandi EG. Application of numerical modeling and genetic programming to estimate rock mass modulus of deformation. International Journal of Mining Science and Technology 2013; 23(5): 733-37.
Samui P. Multivariate Adaptive Regression Spline (Mars) for Prediction of Elastic Modulus of Jointed Rock Mass. Geotechnical & Geological Engineering 2013; 31(1): 249-53.
Singh P, Borah B. Indian summer monsoon rainfall prediction using artificial neural network. Stochastic Environmental Research & Risk Assessment 2013; 27(7): 1585-99.
Wang LQ, Tang HM, Liu YR, Zhang XS. Application of VJC-RMR method to determining rock mass modulus of deformation. Rock & Soil Mechanics 2004; 25(5): 811-13.
Wang TC, Xie YZ, Yan H. Research of multi sensor information fusion technology based on extension neural network, Mathematical Modelling of Engineering Problems 2016; 3(3): 129-34.
Yang GL, Wu KH. Back calculation of elastic moduli of asphalt surface course based on BP neural network. Journal of Sun Yatsen University 2008; 47(5): 44-48.