Published January 10, 2020
| Version v1
Publication
Neurofuzzy model of an industrial process, reducing complexity by using principal component analysis
Description
A Neurofuzzy model of a mixing chamber pressure has been proposed. The process is a part of a copper smelter plant. The principal component analysis (PCA) method has been used to reduce the inputs space for a recurrent fuzzy model. The coupling among variables and their mutual influence between themselves, are taken into account by the projection into the PCA axis. The model have been validated with real data from the factory. The validation result shows that the model is suitable for simulation.
Abstract
XVI Congreso Español sobre Tecnologías y Lógica Fuzzy Valladolid, 1-3 de febrero de 2012
Abstract
Ministerio de Ciencia e Innovación DPI2010-21589-C05-01
Additional details
- URL
- https://idus.us.es/handle//11441/91433
- URN
- urn:oai:idus.us.es:11441/91433
- Origin repository
- USE