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Gross errors detection of industrial data by neural network and cluster techniques
This article describes the application of a three-layer feed-forward neural network to analyze industrial plant data. To adjust mathematical models (for control or optimization purposes) from plant data, it is necessary to analyze and detect outliers and systematic errors and to remove them. The sys...
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| Main Authors: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Brazilian Society of Chemical Engineering
2002-12-01
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| Colecção: | Brazilian Journal of Chemical Engineering |
| Assuntos: | |
| Acesso em linha: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0104-66322002000400018 |
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