A Support Vector Machine and Particle Swarm Optimization Based Model for Cemented Tailings Backfill Materials Strength Prediction

This study aimed to investigate the feasibility of using a model based on particle swarm optimization (PSO) and support vector machine (SVM) to predict the unconfined compressive strength (UCS) of cemented paste backfill (CTB). The dataset was built based on the experimental UCS values. Results reve...

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Detalles Bibliográficos
Autores principales: Yu, Zhuoqun, Wang, Yong, Wang, Yongyan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8952849/
https://www.ncbi.nlm.nih.gov/pubmed/35329578
http://dx.doi.org/10.3390/ma15062128

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8952849/
https://www.ncbi.nlm.nih.gov/pubmed/35329578
http://dx.doi.org/10.3390/ma15062128

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