Artificial Neural Network Model for Prediction of Liquefaction of Sandy Soil

A typical artificial neural network model-back-propagation model was presented for prediction on the soil liquefaction type based on the physical parameters of soils under earthquake. Results showed that the neural network approach is good, and might be referred as an effective technique for prediction of the liquefaction of sandy soil.