Titlebook: Application of Machine Learning in Slope Stability Assessment; Zhang Wengang,Liu Hanlong,Zhang Yanmei Book 2023 Science Press 2023 Slope S

Condescending

precede

愛花花兒憤怒

Prediction of Slope Stability Using Ensemble Learning Techniques,method to predict the slope stability by introducing the random forest (RF) and extreme gradient boosting (XGBoost). As an illustration, the proposed approach is applied to the stability prediction of 786 landslide cases in Yunyang County, Chongqing, China. For comparison, the predictive performance

施魔法

Landslide Susceptibility Research Combining Qualitative Analysis and Quantitative Evaluation: A Cass, i.e., improving data processing methods, comparing and perfecting the data-driven model itself, but rarely taking the qualitative aspects of the local landslide occurrences into consideration and the further analysis of the key features was always lacking. This chapter aims to combine qualitative

intoxicate

Application of Transfer Learning to Improve Landslide Susceptibility Modeling Performance,ional long short-term memory model on the basis of LandslideNet to deal with the input shaped as a one-dimensional array. It was used to extract the characteristics of the areas prone to landslides based on an area with dense data points (source domain) first, then the obtained knowledge was transfe