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arXiv · 0908.0089

Knowledge Discovery of Hydrocyclone s Circuit Based on SONFIS and SORST

H. O. Ghaffari·M. Ejtemaei·M. Irannajad
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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.

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H. O. Ghaffari, M. Ejtemaei, M. Irannajad. 2009-08-01. Knowledge Discovery of Hydrocyclone s Circuit Based on SONFIS and SORST. https://arxiv.org/abs/0908.0089

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