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» On the design of metaheuristic algorithms using fuzzy rules
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ICPR
2010
IEEE
15 years 1 months ago
Evolving Fuzzy Classifiers: Application to Incremental Learning of Handwritten Gesture Recognition Systems
In this paper, we present a new method to design customizable self-evolving fuzzy rule-based classifiers. The presented approach combines an incremental clustering algorithm with a...
Abdullah Almaksour, Eric Anquetil, Solen Quiniou, ...
JIB
2006
78views more  JIB 2006»
14 years 9 months ago
Prediction of transcription factor binding to DNA using rule induction methods
In this study, we seek to develop a predictive model for finding the strength of binding between a particular transcription factor (TF) variant and a particular DNA target variant...
Mikael Huss, Karin Nordström
IJON
2006
134views more  IJON 2006»
14 years 9 months ago
A new approach to fuzzy classifier systems and its application in self-generating neuro-fuzzy systems
A classifier system is a machine learning system that learns syntactically simple string rules (called classifiers) through a genetic algorithm to guide its performance in an arbi...
Mu-Chun Su, Chien-Hsing Chou, Eugene Lai, Jonathan...
DMIN
2006
133views Data Mining» more  DMIN 2006»
14 years 11 months ago
A Fuzzy Neural Based Data Classification System
Data mining has emerged to be a very important research area that helps organizations make good use of the tremendous amount of data they have. In data classification tasks, fuzzy ...
Luong Trung Tuan, Suet Peng Yong
ICIP
2001
IEEE
15 years 11 months ago
Scale space segmentation of color images using watersheds and fuzzy region merging
A multi-resolution segmentation approach for color images is proposed. The scale space is generated using the Perona-Malik diffusion approach and the watershed algorithm is employ...
S. Makrogiannis, Iris Vanhamel, Hichem Sahli, Spir...