Probabilistic prediction of tunnel geology using a Hybrid Neural-HMM

Uncertain ground conditions represent the primary source of risk in underground tunnel construction. However, this problem can be solved by developing an accurate, probabilistic description of the geology. This paper presents a general model for probability based determination of tunnel geology that can be used as a basis for developing more effective… CONTINUE READING