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...

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Detalles Bibliográficos
Autores principales: Yu, Xiaoying, Su, Hongsheng, Fan, Zeyuan, Dong, Yu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Research Article
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

Internet

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

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