Knowledge Discovery of Hydrocyclone s Circuit Based on SONFIS and SORST
Amirkabir University of Technology（阿米尔卡比尔理工大学）
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
