Published on Sat Aug 01 2009

Knowledge Discovery of Hydrocyclone s Circuit Based on SONFIS and SORST

H. O. Ghaffari, M. Ejtemaei, M. Irannajad

This study describes application of some approximate reasoning methods to analysis of hydrocyclone performance. Balancing of crisp granules and non-crisp granules can be implemented in close-open iteration.

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Abstract

This study describes application of some approximate reasoning methods to analysis of hydrocyclone performance. In this manner, using a combining of Self Organizing Map (SOM), Neuro-Fuzzy Inference System (NFIS)-SONFIS- and Rough Set Theory (RST)-SORST-crisp and fuzzy granules are obtained. Balancing of crisp granules and non-crisp granules can be implemented in close-open iteration. Using different criteria and based on granulation level balance point (interval) or a pseudo-balance point is estimated. Validation of the proposed methods, on the data set of the hydrocyclone is rendered.

Thu Apr 03 2008
Artificial Intelligence
Application of Rough Set Theory to Analysis of Hydrocyclone Operation
This paper describes application of rough set theory, on the analysis ofHydrocyclone operation. In this manner, using Self Organizing Map (SOM) as preprocessing step, best crisp granules of data are obtained.
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Fri May 16 2008
Artificial Intelligence
Analysis of hydrocyclone performance based on information granulation theory
This paper describes application of information granulation theory, on the analysis of hydrocyclone perforamance. In this manner, using a combining of Self Organizing Map (SOM) and Neuro-Fuzzy Inference System (NFIS), crisp and fuzzy granules are obtained.
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Sat Sep 12 2009
Artificial Intelligence
Back analysis based on SOM-RST system
This paper describes application of information granulation theory, on the back analysis of Jeffrey mine southeast wall Quebec. In this manner, using a combining of Self Organizing Map (SOM) and rough set theory (RST), crisp and rough granules are obtained.
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Wed Apr 02 2008
Neural Networks
Permeability Analysis based on information granulation theory
This paper describes application of information granulation theory, on the analyzing of "lugeon data" In this manner, using a combining of Self Organizing Map (SOM) and Neuro-Fuzzy Inference System (NFIS), crisp and fuzzy granules are obtained.
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Sat Jun 14 2008
Artificial Intelligence
Development of Hybrid Intelligent Systems and their Applications from Engineering Systems to Complex Systems
In this study, we introduce general frame of MAny Connected Intelligent Particles Systems (MACIPS) Connections and interconnections between particles get a complex behavior of such merely simple system. We have employed our algorithms on the several engineering systems, especially emerged emerged Civil and Mineral processing.
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Wed Apr 02 2008
Neural Networks
Graphical Estimation of Permeability Using RST&NFIS
This paper pursues some applications of Rough Set Theory (RST) and Neuro-Fuzzy model to analysis of "lugeon data" In the manner, using Self Organizing Map (SOM) as a pre-processing the data are scaled and then the dominant rules
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