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Fighting the curse of dimensionality with local model networks

Fighting the curse of dimensionality with local model networks AbstractThis thesis is settled in the field of data-based modeling (identification) and specifically focuses on the weakening of the effects of the curse of dimensionality with local model networks (LMNs). The methods for fighting the curse of dimensionality originate from the fields of input selection and design of experiments (DoE). http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png at - Automatisierungstechnik de Gruyter

Fighting the curse of dimensionality with local model networks

at - Automatisierungstechnik , Volume 67 (10): 2 – Oct 25, 2019

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Publisher
de Gruyter
Copyright
© 2019 Walter de Gruyter GmbH, Berlin/Boston
ISSN
2196-677X
eISSN
2196-677X
DOI
10.1515/auto-2019-0095
Publisher site
See Article on Publisher Site

Abstract

AbstractThis thesis is settled in the field of data-based modeling (identification) and specifically focuses on the weakening of the effects of the curse of dimensionality with local model networks (LMNs). The methods for fighting the curse of dimensionality originate from the fields of input selection and design of experiments (DoE).

Journal

at - Automatisierungstechnikde Gruyter

Published: Oct 25, 2019

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