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Keywords: machine learning
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Proceedings Papers

Paper presented at the ISRM International Symposium, November 19–24, 2000
Paper Number: ISRM-IS-2000-056
.... Guizhou Univ. of Tech., Vol.28,PP. 95-99 Artificial Intelligence mapping finite element-neural network hybrid algorithm soil slope displacement fe-nn hybrid model stress increment soil model machine learning material behavior NN soil model strain increment neural network boundary...
Proceedings Papers

Paper presented at the ISRM International Symposium, November 19–24, 2000
Paper Number: ISRM-IS-2000-147
... primarily due to particle rolling, sliding and crushing. Artificial Intelligence modeling settlement nonlinear elasticity model application machine learning inverse problem resolution initial value landfill hydrostatic testing formulation solid waste management adjustment operation...
Proceedings Papers

Paper presented at the ISRM International Symposium, November 19–24, 2000
Paper Number: ISRM-IS-2000-034
.... Reservoir Characterization exponent failure criterion Artificial Intelligence criterion prediction Upstream Oil & Gas test result criteria hoek-brown criterion MPa machine learning strength sigma 1 envelope failure envelope estimation equation triaxial strength rock mass sigma 3...
Proceedings Papers

Paper presented at the ISRM International Symposium, November 19–24, 2000
Paper Number: ISRM-IS-2000-014
... the development and interpretation of design ground motions that contribute to poor practice. Reservoir Characterization density function hazard machine learning Upstream Oil & Gas ground motion operational safety Earthquake seismic hazard evaluation probability attenuation relation return...
Proceedings Papers

Paper presented at the ISRM International Symposium, November 19–24, 2000
Paper Number: ISRM-IS-2000-029
... of geomaterials. For example, simple numerical procedures have been used for many years in geotechnical practice in the assessment of strength, analysis of soil consolidation, and estimation of slope stability. neural network civil engineering machine learning Upstream Oil & Gas mean effective...
Proceedings Papers

Paper presented at the ISRM International Symposium, November 19–24, 2000
Paper Number: ISRM-IS-2000-341
... cement chemistry Artificial Intelligence machine learning construction materials regression model calculation specimen reference mixture table compressive strength fibrous ettringite hydrate Portland cement ettringite hydrate soilcrete sand ratio FGC agent FGC soil improvement property...
Proceedings Papers

Paper presented at the ISRM International Symposium, November 19–24, 2000
Paper Number: ISRM-IS-2000-453
... therefore attempts to develop methods of evaluating and quantifying the risk of failure of rock beds and slopes in road disaster management. Yen rainfall intensity slope failure contingency planning rock bed vehicle Artificial Intelligence traffic closure History machine learning average...
Proceedings Papers

Paper presented at the ISRM International Symposium, November 19–24, 2000
Paper Number: ISRM-IS-2000-459
... parameters and then to estimate the safety factors by using slope design charts for circular failure surface or other calculation methods (Hoek and Bray, 1974). Reservoir Characterization Artificial Intelligence RMR classification system reservoir geomechanics Upstream Oil & Gas machine...
Proceedings Papers

Paper presented at the ISRM International Symposium, November 19–24, 2000
Paper Number: ISRM-IS-2000-300
..., Optimization, and Machine Learning, Addison-Wesley Publishing Co., Inc., New York. Horikoshi, K. and Randolph, M.F.(1998), "A Contribution to Optimum Design of Piled Rafts", Geotechnique, 48(3), pp. 301_317. Schaffer, J. D., et. al.(1989), "A Study of Control Parameters Affecting Online Performance of Ge...
Proceedings Papers

Paper presented at the ISRM International Symposium, November 19–24, 2000
Paper Number: ISRM-IS-2000-534
... space metals & mining orientation disintegration zone machine learning explosive breakage geophysical observation interpretation destruction stress field mining work Artificial Intelligence Reorganization peri-contour part synergetic process deposit 2000. CRC Press. Permission...
Proceedings Papers

Paper presented at the ISRM International Symposium, November 19–24, 2000
Paper Number: ISRM-IS-2000-578
... at the early stage of excavation, it is possible to predict displacements at all stages over the entire tunnelling operation. machine learning early stage total crown settlement face distance linear function displacement tunnel section total displacement construction tunnel tunnel diameter...
Proceedings Papers

Paper presented at the ISRM International Symposium, November 19–24, 2000
Paper Number: ISRM-IS-2000-536
... timely, on the other hand, some predicted data such as initial stress, and elastic modulus can be used for stability analysis. grey system tangent angle unstable time Artificial Intelligence type displacement-time curve displacement-time curve tunnel rockmass initial series machine...
Proceedings Papers

Paper presented at the ISRM International Symposium, November 19–24, 2000
Paper Number: ISRM-IS-2000-628
... Excavation Procedure evaluation machine learning function parameter correlation excavation method rock mass ground transportation information excavation Case History procedure rail transportation accuracy prediction application sequential excavation Invert tunnel support system...
Proceedings Papers

Paper presented at the ISRM International Symposium, November 19–24, 2000
Paper Number: ISRM-IS-2000-595
... finishing. Artificial Intelligence mudstone sandstone green schist Reservoir Characterization overburden tunnel support machine learning deformation rate correlation coefficient crown settlement overburden ratio Upstream Oil & Gas apparent coefficient lateral pressure rock type...
Proceedings Papers

Paper presented at the ISRM International Symposium, November 19–24, 2000
Paper Number: ISRM-IS-2000-610
... of the world have been also gathered. These data are compiled and processed through an integrated data-base. Reservoir Characterization wellbore integrity natural language construction materials Upstream Oil & Gas machine learning text classification Wellbore Design assessment strength...
Proceedings Papers

Paper presented at the ISRM International Symposium, November 19–24, 2000
Paper Number: ISRM-IS-2000-221
.... educational setting ESP student Artificial Intelligence mistake-induced dialogue user freedom machine learning learning strategy knowledge average result dialogue application instruction educational content effective stress total vertical stress sequential test section paper-based approach...
Proceedings Papers

Paper presented at the ISRM International Symposium, November 19–24, 2000
Paper Number: ISRM-IS-2000-226
... teaching of Geomechanics, Proceedings of the 1st Int. Conf. on Geotechnical Engineering Education and Training, Sinaia, Romania, I. Monoliu, I Antonescu and N. Radulescu (Eds A.A. Balkema, pp. 343-348. McCarthy, B. (1996) About Learning. Barrington , IL: Excel, Inc. machine learning Engineering...
Proceedings Papers

Paper presented at the ISRM International Symposium, November 19–24, 2000
Paper Number: ISRM-IS-2000-227
... a sustainability perspective. Proc. of Symp. on Engineering Geology and the Environment, Athens, Vol. 3, pp. 3345-3350. Artificial Intelligence waste management environmental law civil engineer Proc machine learning geoenvironmental engineering course geotechnical engineering curriculum knowledge...
Proceedings Papers

Paper presented at the ISRM International Symposium, November 19–24, 2000
Paper Number: ISRM-IS-2000-224
... and delivery modes. machine learning Reservoir Characterization Upstream Oil & Gas supplier investigation email structural geology Artificial Intelligence Simulation courseware effective stress availability University US government geotechnical engineering permeability Engineering...
Proceedings Papers

Paper presented at the ISRM International Symposium, November 19–24, 2000
Paper Number: ISRM-IS-2000-411
... network Gorge Project artificial neural network rock engineering deformation machine learning excavation amount prediction excavation construction Engineering slope deformation study rock slope engineering weiya xu SLOPE DEFORMATION STUDY WITH ANN METHOD IN TGP (THREE GORGES PROJECT) Weiya...

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