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» Hierarchical Fuzzy CMAC for Nonlinear Systems Modeling
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EUSFLAT
2009
142views Fuzzy Logic» more  EUSFLAT 2009»
13 years 3 months ago
Multi-Dimensional Scaling applied to Hierarchical Rule Systems
Abstract-- This paper presents an approach for visualizing highdimensional fuzzy rules arranged in a hierarchy together with the training patterns they cover. A standard multi-dime...
Thomas R. Gabriel, Kilian Thiel, Michael R. Bertho...
ASIAMS
2008
IEEE
13 years 12 months ago
HiNFRA: Hierarchical Neuro-Fuzzy Learning for Online Risk Assessment
Our previous research illustrated the design of fuzzy logic based online risk assessment for Distributed Intrusion Prediction and Prevention Systems (DIPPS) [3]. Based on the DIPP...
Kjetil Haslum, Ajith Abraham, Svein J. Knapskog
EUSFLAT
2009
152views Fuzzy Logic» more  EUSFLAT 2009»
13 years 3 months ago
Fuzzy and PSO Based Algorithm for Driver's Behavior Modeling
The study of human behavior during driving is of primary importance for the improvement of drivers' security. This study is complex because of numerous situations in which the...
Sohrab Khanmohammadi, Mohammad Ali Tinati, Sehrane...
AUTOMATICA
2005
152views more  AUTOMATICA 2005»
13 years 5 months ago
Identification of dynamical systems with a robust interval fuzzy model
In this paper we present a new method of interval fuzzy model identification. The method combines a fuzzy identification methodology with some ideas from linear programming theory...
Igor Skrjanc, Saso Blazic, Osvaldo E. Agamennoni
EUSFLAT
2009
124views Fuzzy Logic» more  EUSFLAT 2009»
13 years 3 months ago
Development of a Fuzzy Expert System for a Nutritional Guidance Application
The importance of nutritional guidance grows as nutritional problems, such as obesity and type-2 diabetes, are becoming more common. Nutritional guidance is carried out by mapping ...
Petri Heinonen, Marjo Mannelin, Hannu Iskala, Aki ...