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...
| Main Authors: | , |
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| Format: | Journal Article |
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Elsevier
2012
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| Online Access: | http://hdl.handle.net/20.500.11937/14782 |