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Prediction of train wheel diameter based on Gaussian process regression optimized using a fast simulated annealing algorithm
An algorithm to predict train wheel diameter based on Gaussian process regression (GPR) optimized using a fast simulated annealing algorithm (FSA-GPR) is proposed in this study to address the problem of dynamic decrease in wheel diameter with increase in mileage, which affects the measurement accura...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6936821/ https://www.ncbi.nlm.nih.gov/pubmed/31887160 http://dx.doi.org/10.1371/journal.pone.0226751 |