Anthony T. C. Goh
- Seismic Liquefaction Potential Assessed by Neural Networks. Dans: Journal of Geotechnical Engineering (ASCE), v. 120, n. 9 (septembre 1994). (1994):
- Assessment of basal heave stability for braced excavations in anisotropic clay using extreme gradient boosting and random forest regression. Dans: Underground Space, v. 7, n. 2 (avril 2022). (2022):
- Effects of jet grouting slabs on responses for deep braced excavations. Dans: Underground Space, v. 6, n. 2 (avril 2021). (2021):
- Engineering Properties of Incinerator Residue. Dans: Journal of Environmental Engineering (ASCE), v. 117, n. 2 (mars 1991). (1991):
- Probabilistic Assessment of Serviceability Limit State of Diaphragm Walls for Braced Excavation in Clays. Dans: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, v. 1, n. 3 (septembre 2015). (2015):
- Modeling Soil Correlations Using Neural Networks. Dans: Journal of Computing in Civil Engineering, v. 9, n. 4 (octobre 1995). (1995):
- Neural Networks for Evaluating CPT Calibration Chamber Test Data. Dans: Computer-Aided Civil and Infrastructure Engineering, v. 10, n. 2 (mars 1995). (1995):
- Search For Critical Slip Circle Using Genetic Algorithms. Dans: Civil Engineering and Environmental Systems, v. 17, n. 3 (juillet 2000). (2000):
- Soil Laboratory Data Interpretation Using Generalized Regression Neural Network. Dans: Civil Engineering and Environmental Systems, v. 16, n. 3 (mai 1999). (1999):
- Evaluating stability of underground entry-type excavations using multivariate adaptive regression splines and logistic regression. Dans: Tunnelling and Underground Space Technology, v. 70 (novembre 2017). (2017):
- Multivariate adaptive regression splines for inverse analysis of soil and wall properties in braced excavation. Dans: Tunnelling and Underground Space Technology, v. 64 (avril 2017). (2017):
- Basal heave stability of supported circular excavations in clay. Dans: Tunnelling and Underground Space Technology, v. 61 (janvier 2017). (2017):
- Reliability assessment on ultimate and serviceability limit states and determination of critical factor of safety for underground rock caverns. Dans: Tunnelling and Underground Space Technology, v. 32 (novembre 2012). (2012):
- Estimating wall deflections in deep excavations using Bayesian neural networks. Dans: Tunnelling and Underground Space Technology, v. 20, n. 4 (juillet 2005). (2005):
- Modeling the Capacity of Pin-Ended Slender Reinforced Concrete Columns Using Neural Networks. Dans: Journal of Structural Engineering (ASCE), v. 124, n. 7 (juillet 1998). (1998):
- Reuse of Incinerator Fly Ash in Soft Soil Stabilization. Dans: Journal of Materials in Civil Engineering (ASCE), v. 15, n. 4 (août 2003). (2003):