Automated machine learning recognition to diagnose flood resilience of railway switches and crossings

In addition, Table 1 includes the class for the classification of the machine learning model. Full size imageData preparation and machine learning model developmentThere are 1936 simulations in total. The second one is the regression model when the machine learning model is developed to predict the current stiffness of railway turnout supports. The concept of grid search is the machine learning model will try every combination that is defined by the grid search. Full size tableThe novelty of the developed machine learning model is the machine learning model in this study uses raw data or time-series data that previous studies have never done before.