This paper describes an identification algorithm of fuzzy models and its application to the modeling of the pulp density in a mineral grinding plant. The parameters of the fuzzy model are estimated using information obtained from a process simulator. The performance of the fuzzy model is only slightly superior to that of a conventional linear model
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Autor | Cipriano, Aldo Ramos, M. Munoz, C. Guarini Hermann, Marcelo Walter Guesalaga, A. |
Título | Fuzzy modelling of pulp density in a mineral grinding plant |
Página inicio | 414 |
Página final | 419 |
Fecha de publicación | 1994 |
Resumen | This paper describes an identification algorithm of fuzzy models and its application to the modeling of the pulp density in a mineral grinding plant. The parameters of the fuzzy model are estimated using information obtained from a process simulator. The performance of the fuzzy model is only slightly superior to that of a conventional linear model |
Derechos | acceso restringido |
DOI | 10.1109/ISIE.1994.333080 |
Editorial | IEEE |
Enlace | https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=333080 |
Palabra clave | Minerals Milling machines Mathematical model Delay effects Circuits Instruments Batteries Ores Fuzzy sets Ball milling |
Publicado en / Colección | IEEE International Symposium on Industrial Electronics (1994 : Santiago, Chile) |
Tipo de documento | comunicación de congreso |