Comparison of artificial neural networks (ANN), support vector machine (SVM) and gene expression programming (GEP) approaches for predicting TBM penetration rate
Crossref DOI link: https://doi.org/10.1007/s42452-020-03767-y
Published Online: 2020-11-17
Published Print: 2020-12
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Afradi, Alireza
Ebrahimabadi, Arash
Text and Data Mining valid from 2020-11-17
Version of Record valid from 2020-11-17
Article History
Received: 23 June 2020
Accepted: 27 October 2020
First Online: 17 November 2020
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