Interpretation of nonlinear relationships between process variables by use of random forests

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Interpretation of nonlinear relationships between process variables by use of random forests

Better understanding of process phenomena is dependent on the interpretation of models capturing the relationships between the process variables. Although linear regression is used routinely in the mineral process industries for this purpose, it may not be useful where the relationships between vari...

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Bibliographic Details
Main Authors:	Auret, L., Aldrich, Chris
Format:	Journal Article
Published:	Elsevier 2012
Subjects:	Comminution Pyrometallurgy Modelling
Online Access:	http://hdl.handle.net/20.500.11937/14782

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