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» Modified genetic algorithm for nonlinear data reconciliation
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EUSFLAT
2003
120views Fuzzy Logic» more  EUSFLAT 2003»
13 years 9 months ago
A Type 2 fuzzy system modelling algorithm
In this paper, a modified fuzzy system modelling algorithm that incorporates Type 2 fuzzy sets, which is based on intervalvalued membership degrees rather than singleton membershi...
Kemal Kilic, Özge Uncu, I. Burhan Türkse...
EUSFLAT
2009
156views Fuzzy Logic» more  EUSFLAT 2009»
13 years 5 months ago
Interactive Fuzzy Modeling by Evolutionary Multiobjective Optimization with User Preference
One of the new trends in genetic fuzzy systems (GFS) is the use of evolutionary multiobjective optimization (EMO) algorithms. This is because EMO algorithms can easily handle two c...
Yusuke Nojima, Hisao Ishibuchi
NIPS
2001
13 years 9 months ago
K-Local Hyperplane and Convex Distance Nearest Neighbor Algorithms
Guided by an initial idea of building a complex (non linear) decision surface with maximal local margin in input space, we give a possible geometrical intuition as to why K-Neares...
Pascal Vincent, Yoshua Bengio
GECCO
2000
Springer
112views Optimization» more  GECCO 2000»
13 years 11 months ago
Linguistic Rule Extraction by Genetics-Based Machine Learning
This paper shows how linguistic classification knowledge can be extracted from numerical data for pattern classification problems with many continuous attributes by genetic algori...
Hisao Ishibuchi, Tomoharu Nakashima
HYBRID
2007
Springer
14 years 1 months ago
Switch Detection in Genetic Regulatory Networks
Abstract. This paper considers piecewise affine models of genetic regulatory networks and focuses on the problem of detecting switches among different modes of operation in gene e...
Riccardo Porreca, Giancarlo Ferrari-Trecate, Danie...