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Industrial Data Modeling with DataModeler: Pareto-Aware Symbolic Regression
Author

Mark Kotanchek
Organization: Evolved Analytics, LLC
Conference

2006 Wolfram Technology Conference
Conference location

Champaign IL
Description

Evolved Analytics’ DataModeler package (www.evolved-analytics.com) for Mathematica was developed over many years of active industrial modeling. The techniques it embodies have been applied in production trouble-shooting, bioreactor control, financial prediction, emissions monitoring, and elsewhere. We point out the growing need for industrial-strength modeling, review key strengths of genetic programming, demonstrate the capabilities of the DataModeler package, and demonstrate the future impact of exploratory modeling using case studies and real-world industrial data. We conclude with a discussion of plans for DataModeler 2.0.
Subjects

*Applied Mathematics
*Mathematica Technology > Programming
Keywords

data, modeling, production, industrial data
Downloads

Download
IndustrialDataModeling.ppt (1.6 MB) - Powerpoint slideshow