A visualized hybrid intelligent model to delineate Swedish fine-grained soil layers

Ghaderi, A., Shahri, A.A. and Larsson, S. (2022) A visualized hybrid intelligent model to delineate Swedish fine-grained soil layers using clay sensitivity. Catena 214: 106289. doi.org/10.1016/j.catena.2022.106289

In the current paper, a hybrid model was developed to generate 3D delineated soil horizons using clay sensitivity (St) with 1 m depth intervals in a landslide prone area in the southwest of Sweden. A hybridizing process was carried out using generalized feed forward neural network (GFFN) incorporated with genetic algorithm (GA). The results show that the adopted hybrid GFFN-GA is an efficient tool that can potentially be applied to delineate soil horizons for the prediction of future events