Analysis of hydrocyclone performance based on information granulation theory

Details Analysis of hydrocyclone performance based on information granulation theory Analysis of hydrocyclone performance based on information granulation theory

2008-05-16

arxiv.org/abs/0805.2440v1

Computer Science

Artificial Intelligence

8th. World Congress on Computational Mechanics (WCCM8) 5th. European Congress on Computational Methods in Applied Sciences and

Scientific paper

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(briefly called SONFIS). Balancing of crisp granules and sub fuzzy granules, within non fuzzy information (initial granulation), is rendered in an open-close iteration. Using two criteria, "simplicity of rules "and "adaptive threoshold error level", stability of algorithm is guaranteed. Validation of the proposed method, on the data set of the hydrocyclone is rendered.

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