Documentation/Machine Learning: Unterschied zwischen den Versionen
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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 | + | 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]]. |
Version vom 12. September 2013, 21:23 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.
