Machine learning techniques applied to the construction of a new geomechanical quality index

DOI10.1080/00207161003759066zbMath1220.62080OpenAlexW2116614160MaRDI QIDQ3008384

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Publication date: 15 June 2011

Published in: International Journal of Computer Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207161003759066

zbMATH Keywords

rule extractionclassification problemmachine learning (SVMs)ornamental quality indexrock mass rating

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Theory of languages and software systems (knowledge-based systems, expert systems, etc.) for artificial intelligence (68T35) Geological problems (86A60)

Related Items (1)

Use of machine learning techniques to analyse the risk associated with mine sludge deposits

Uses Software

• C4.5

Cites Work

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• Estimation of dependences based on empirical data. Transl. from the Russian by Samuel Kotz
• Rule extraction from support vector machines.
• Support vector machines and gradient boosting for graphical estimation of a slate deposit
• A new displacement back analysis to identify mechanical geo‐material parameters based on hybrid intelligent methodology

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