Industrial process error estimation by machine learning
Performing a set-up on a complex machine may be difficult. This problem arises frequently for the industry, especially when the relation between input and output data cannot be defined precisely. Heavy methods of optimization may be used to perform a set-up. This master thesis investigate the possib...
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| Format: | Others |
| Language: | English |
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KTH, Numerisk analys, NA
2015
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-178069 |