Graphical Estimation of Permeability Using RST&NFIS
Amirkabir University of Technology（阿米尔卡比尔理工大学）；University of Alberta（阿尔伯塔大学）
英文摘要：
This paper pursues some applications of Rough Set Theory (RST) and neural-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 by RST, are elicited. Based on these rules variations of permeability in the different levels of Shivashan dam, Iran has been highlighted. Then, via using a combining of SOM and an adaptive Neuro-Fuzzy Inference System (NFIS) another analysis on the data was carried out. Finally, a brief comparison between the obtained results of RST and SOM-NFIS (briefly SONFIS) has been 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。
