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EUSFLAT
2009
152views Fuzzy Logic» more  EUSFLAT 2009»
13 years 3 months ago
Learning Fuzzy Rule Based Classifier in High Performance Computing Environment
-- An approach to estimate the number of rules by spectral analysis of the training dataset has been recently proposed [1]. This work presents an analysis of such a method in high ...
Vinicius da F. Vieira, Alexandre Evsukoff, Beatriz...
FUZZIEEE
2007
IEEE
13 years 11 months ago
Using the OLS Algorithm to Build Interpretable Rule Bases: An Application to a Depollution Problem
— One of the main advantages of fuzzy modeling is the ability to yield interpretable results. Amongst these modeling methods, the OLS algorithm is a mathematically robust techniq...
Sébastien Destercke, Serge Guillaume, Brigi...
EUSFLAT
2009
195views Fuzzy Logic» more  EUSFLAT 2009»
13 years 3 months ago
Optimization of an Oil Production System using Neural Networks and Genetic Algorithms
This paper proposes an optimization strategy which is based on neural networks and genetic algorithms to calculate the optimal values of gas injection rate and oil rate for oil pro...
Guillermo Jimenez de la Cruz, Jose A. Ruz-Hernande...
FSKD
2005
Springer
180views Fuzzy Logic» more  FSKD 2005»
13 years 11 months ago
An Effective Feature Selection Scheme via Genetic Algorithm Using Mutual Information
Abstract. In the artificial neural networks (ANNs), feature selection is a wellresearched problem, which can improve the network performance and speed up the training of the networ...
Chunkai K. Zhang, Hong Hu
AEI
1999
110views more  AEI 1999»
13 years 5 months ago
Self-tuning fuzzy controller design using genetic optimisation and neural network modelling
This article describes a new adaptive fuzzy logic control scheme. The proposed scheme is based on the structure of the self-tuning regulator and employs neural network and genetic...
Duc Truong Pham, Dervis Karaboga