Sciweavers

100 search results - page 3 / 20
» Rule based fuzzy classification using squashing functions
Sort
View
GECCO
2003
Springer
128views Optimization» more  GECCO 2003»
13 years 11 months ago
The Principle of Maximum Entropy-Based Two-Phase Optimization of Fuzzy Controller by Evolutionary Programming
In this paper, a two-phase evolutionary optimization scheme is proposed for obtaining optimal structure of fuzzy control rules and their associated weights, using evolutionary prog...
Chi-Ho Lee, Ming Yuchi, Hyun Myung, Jong-Hwan Kim
JCIT
2008
124views more  JCIT 2008»
13 years 5 months ago
A Knowledge based Approach Using Fuzzy Inference Rules for Vowel Recognition
Automatic speech recognition by machine is one of the most efficient methods for man-machine communications. Because speech waveform is nonlinear and variant. Speech recognition r...
Hrudaya K. Tripathy, B. K. Tripathy, Pradip K. Das
HAIS
2009
Springer
13 years 3 months ago
A Three-Objective Evolutionary Approach to Generate Mamdani Fuzzy Rule-Based Systems
Abstract. In the last years, several papers have proposed to adopt multiobjective evolutionary algorithms (MOEAs) to generate Mamdani fuzzy rulebased systems with different trade-o...
Michela Antonelli, Pietro Ducange, Beatrice Lazzer...
MICAI
2004
Springer
13 years 11 months ago
MultiGrid-Based Fuzzy Systems for Function Approximation
In this paper we make use of a modified Grid Based Fuzzy System architecture, which may provide an exponential reduction in the number of rules needed. We also introduce an algori...
Luis Javier Herrera, Héctor Pomares, Ignaci...
GECCO
2003
Springer
110views Optimization» more  GECCO 2003»
13 years 11 months ago
Evolutionary Multiobjective Optimization for Generating an Ensemble of Fuzzy Rule-Based Classifiers
One advantage of evolutionary multiobjective optimization (EMO) algorithms over classical approaches is that many non-dominated solutions can be simultaneously obtained by their si...
Hisao Ishibuchi, Takashi Yamamoto