Graphical estimation of permeability using RST&NFIS

Graphical estimation of permeability using RST&NFIS

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 pe...

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Bibliographische Detailangaben
Hauptverfasser: Owladeghaffari, H., Shahriar, K., Pedrycz, W.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Adaptive systems
Data analysis
Data engineering
Finite element methods
Instruments
Neurons
Organizing
Permeability
Set theory
Testing
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Beschreibung
Zusammenfassung: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.
DOI:10.1109/NAFIPS.2008.4531217