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Adaptive DoE Workflow

  • Features
  • in: Other

An Adaptive Design of Experiments workflow

See how easy it is to set up an ‘Improve Model’ run in Alchemite™ Analytics in this video demo.  This identifies what experiments you should do next in order to increase the quality of the machine learning model and focus-in on your targets.  It’s simple to feed the results from those experiments back into the model, and iterate until you achieve the desired results. This Adaptive Design of Experiments approach can meet objectives using fewer experiments than conventional DoE.

For more information see our Adaptive Design of Experiments white paper.

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