2009/08/01 by H. O. Ghaffari, Majid Ejtemaei, M. Ejtemaei +5
Computer Science · Engineering · #Artificial Intelligence (cs.AI) #Cyclone Separators and Fluid Dynamics #FOS: Computer and information sciences #Oil and Gas Production Techniques #Power Transformer Diagnostics and Insulation #cs.AI
paper · pdf · doi:10.48550/arxiv.0908.0089
Proceedings of the 11th International Mineral Processing Symposium 21-23 October 2008, Belek-Antalya, Turkey
arxiv created 2009/08/01 · openalex publication_date 2009/08/01 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
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.