The comparison of the performance of ELM, BRNN, and SVM methods for the prediction of compression index of clays
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Title
The comparison of the performance of ELM, BRNN, and SVM methods for the prediction of compression index of clays
Authors
Keywords
Compression index, Extreme learning machine, Bayesian regularization neural network, Support vector machine
Journal
Arabian Journal of Geosciences
Volume 11, Issue 24, Pages -
Publisher
Springer Nature
Online
2018-12-14
DOI
10.1007/s12517-018-4143-9
References
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