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HAIS
2009
Springer
15 years 2 months ago
Automatic Clustering Using a Synergy of Genetic Algorithm and Multi-objective Differential Evolution
— This paper applies the Differential Evolution (DE) and Genetic Algorithm (GA) to the task of automatic fuzzy clustering in a Multi-objective Optimization (MO) framework. It com...
Debarati Kundu, Kaushik Suresh, Sayan Ghosh, Swaga...
RSCTC
2010
Springer
142views Fuzzy Logic» more  RSCTC 2010»
14 years 7 months ago
Learning from Imbalanced Data in Presence of Noisy and Borderline Examples
In this paper we studied re-sampling methods for learning classifiers from imbalanced data. We carried out a series of experiments on artificial data sets to explore the impact of ...
Krystyna Napierala, Jerzy Stefanowski, Szymon Wilk
ENGL
2006
99views more  ENGL 2006»
14 years 9 months ago
A Patient Specific Neural Networks (MLP) for Optimization of Fuzzy Outputs in Classification of Epilepsy Risk Levels from EEG Si
In recent years Neural Networks have been widely used as pattern and statistical classifiers in bio medical engineering. Most research to date using hybrid systems (Fuzzy-Neuro) fo...
R. Sukanesh, R. Harikumar
ENGL
2007
160views more  ENGL 2007»
14 years 9 months ago
Diagnosis and Classification of Epilepsy Risk Levels from EEG Signals Using Fuzzy Aggregation Techniques
— This paper is intended to compare the performance of four different types of fuzzy aggregation methods in classification of epilepsy risk levels from EEG Signal parameters. The...
R. Sukanesh, R. Harikumar
SOCO
2008
Springer
14 years 9 months ago
Fuzzy linear regression model based on fuzzy scalar product
The new concept and method of imposing imprecise (fuzzy) input and output data upon the conventional linear regression model is proposed in this paper. We introduce the fuzzy scala...
Hsien-Chung Wu