Classification and Identification of Rail Surface Defects Based on Machine Learning
An algorithm for classifying and identifying rail surface defects based on machine learning is explored.The algorithm firstly carries out the calculation and extraction of defective feature quantity,and then uses the defective feature dataset to train the machine learning algorithm model,and finally uses the trained algorithm model to identify and classify the defects on the rail surface.
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