Optimization of Inputs for the Application of ANN to Rail Track Granular Materials
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DOI: 10.1139/cgj-2024-0384
Abstract: Machine Learning (ML) models such as Artificial Neural Networks (ANN) have gained increasing popularity in geotechnical engineering applications as an alternative to conventional empirical and computational models. At present, very few ML models exist for… read more here.
Keywords: optimization inputs; application ann; granular materials; track granular ... See more keywords