Some applications of Adaptive Neuro-Fuzzy Inference System (ANFIS) in geotechnical engineering

This paper presents a review of the Adaptive Neuro-Fuzzy Inference System (ANFIS) in current use for geotechnical engineering-based studies, as well as some applications employed in resonant column testing, triaxial testing, and liquefaction triggering. Over the last few years, ANFIS has been used in many geotechnical engineering problems. A review of published literature reveals that ANFIS has been used successfully in footing response prediction, modeling of the friction angle of soils, tunnel stability analysis, estimating current-induced scour depth around pile groups, prediction of unconfined compressive strength, swelling potential of soils and permeability estimation. Some works have been selected to be described, as the others are acknowledged. The paper also presents ANFIS based models for coarse rotund sand–mica mixtures tested in triaxial and resonant column testing apparatuses and a modeling for liquefaction triggering.