Prediction of Factor of Safety For Slope Stability Using Advanced Artificial Intelligence Techniques
One of the major arising challenges in geotechnical engineering is to stabilize slopes for the sake of nature, economy, and valuable lives. In recent times, there has been a tremendous amount of developments in the field of computational geomechanics leading to the development of the slope stability analysis. The study explains the application of advanced artificial intelligence methods for finding the factor of safety of the slope. Multi-gene genetic programming (MGGP) and multivariate adaptive regression splines (MARS) are the two techniques used in predicting the factor of safety (FOS) for stability analysis of slopes. The present results are compared with Sah et al.  and the comparison seems to be reasonably good. The study finds that MGGP is more accurate than MARS in predicting the FOS.
KeywordsSlope stability Factor of safety Artificial intelligence Multi-gene genetic programming (MGGP) Multivariate adaptive regression splines (MARS)
- 5.Searson, D.P., Leahy, D.E., Willis, M.J.: GPTIPS: an open source genetic programming toolbox from multi-gene symbolic regression. In: International Multi Conference of Engineers and Computer Scientists, vol. 1, March 17–19, Hong Kong (2010)Google Scholar
- 6.Milborrow, S.: Package ‘earth’. R Software package (2019)Google Scholar