Investigating the Applications of Machine Learning Techniques to Predict the Rock Brittleness Index

Investigating the Applications of Machine Learning Techniques to Predict the Rock Brittleness Index

Despite the vast usage of machine learning techniques to solve engineering problems, a very limited number of studies on the rock brittleness index (<i>BI</i>) have used these techniques to analyze issues in this field. The present study developed five well-known machine learning techniq...

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Bibliographic Details
Main Authors: Deliang Sun, Mahshid Lonbani, Behnam Askarian, Danial Jahed Armaghani, Reza Tarinejad, Binh Thai Pham, Van Van Huynh
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Applied Sciences
Subjects:
rock brittleness index
machine learning techniques
artificial neural networks
random forest
k-nearest neighbors
support vector machine
Online Access:https://www.mdpi.com/2076-3417/10/5/1691

Internet

https://www.mdpi.com/2076-3417/10/5/1691

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