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Given some data, machine learning infers relations among them. Well known representatives of machine learning are Artificial Neural Networks and Support Vector Machines.  
 
Given some data, machine learning infers relations among them. Well known representatives of machine learning are Artificial Neural Networks and Support Vector Machines.  
  
The goal in OpenDINO is to use these techniques to build models either to speed up optimization runs or to post-process the result both [[Documentation/DoE | DoE]] and [[Documentation/Optimization | optimization]].
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The goal in OpenDino is to use these techniques to build models either to speed up optimization runs or to post-process the result both [[Documentation/DoE | DoE]] and [[Documentation/Optimization | optimization]].

Aktuelle Version vom 20. März 2014, 00:07 Uhr

Introduction

Given some data, machine learning infers relations among them. Well known representatives of machine learning are Artificial Neural Networks and Support Vector Machines.

The goal in OpenDino is to use these techniques to build models either to speed up optimization runs or to post-process the result both DoE and optimization.