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ECSQARU
2005
Springer
15 years 3 months ago
Generating Fuzzy Models from Deep Knowledge: Robustness and Interpretability Issues
The most problematic and challenging issues in fuzzy modeling of nonlinear system dynamics deal with robustness and interpretability. Traditional data-driven approaches, especially...
Raffaella Guglielmann, Liliana Ironi
GECCO
2005
Springer
121views Optimization» more  GECCO 2005»
15 years 3 months ago
An evolutionary algorithm to generate hyper-ellipsoid detectors for negative selection
This paper introduces hyper-ellipsoids as an improvement to hyper-spheres as intrusion detectors in a negative selection problem within an artificial immune system. Since hyper-s...
Joseph M. Shapiro, Gary B. Lamont, Gilbert L. Pete...
DATE
2003
IEEE
103views Hardware» more  DATE 2003»
15 years 3 months ago
Area Fill Generation With Inherent Data Volume Reduction
Control of variability and performance in the back end of the VLSI manufacturing line has become extremely difficult with the introduction of new materials such as copper and low...
Yu Chen, Andrew B. Kahng, Gabriel Robins, Alexande...
IPPS
2003
IEEE
15 years 3 months ago
A Novel Design Technology for Next Generation Ubiquitous Computing Architecture
Modern applications for mobile computing require high performance architectures. On the other hand, there are restrictions such as storage or power consumption. The use of recon...
Carsten Nitsch, Camillo Lara, Udo Kebschull
EGICE
2006
15 years 1 months ago
Evolutionary Generation of Implicative Fuzzy Rules for Design Knowledge Representation
Abstract. In knowledge representation by fuzzy rule based systems two reasoning mechanisms can be distinguished: conjunction-based and implication-based inference. Both approaches ...
Mark Freischlad, Martina Schnellenbach-Held, Torbe...