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» Fuzzy diagnosis of turbomachines
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ESANN
2003
13 years 8 months ago
Extraction of fuzzy rules from trained neural network using evolutionary algorithm
This paper presents our approach to the rule extraction problem from trained neural network. A method called REX is briefly described. REX acquires a set of fuzzy rules using an ev...
Urszula Markowska-Kaczmar, Wojciech Trelak
CGI
2006
IEEE
14 years 1 months ago
MIP-Guided Vascular Image Visualization with Multi-Dimensional Transfer Function
Direct volume rendering (DVR) is an effective way to visualize 3D vascular images for diagnosis of different vascular pathologies and planning of surgical treatments. Angiograms ar...
Ming-Yuen Chan, Yingcai Wu, Huamin Qu, Albert C. S...
ESANN
2007
13 years 8 months ago
How to process uncertainty in machine learning?
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Barbara Hammer, Thomas Villmann
TCBB
2011
13 years 1 months ago
Data Mining on DNA Sequences of Hepatitis B Virus
: Extraction of meaningful information from large experimental datasets is a key element of bioinformatics research. One of the challenges is to identify genomic markers in Hepatit...
Kwong-Sak Leung, Kin-Hong Lee, Jin Feng Wang, Eddi...
CII
2006
95views more  CII 2006»
13 years 7 months ago
A neuro-fuzzy monitoring system: Application to flexible production systems
The multiple reconfiguration and the complexity of the modern production system lead to design intelligent monitoring aid systems. Accordingly, the use of neurofuzzy technics seem...
N. Palluat, Daniel I. Racoceanu, Noureddine Zerhou...