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» Two Results About Optimization of Fuzzy Variable Functions
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ECML
2007
Springer
14 years 10 days ago
Fast Optimization Methods for L1 Regularization: A Comparative Study and Two New Approaches
L1 regularization is effective for feature selection, but the resulting optimization is challenging due to the non-differentiability of the 1-norm. In this paper we compare state...
Mark Schmidt, Glenn Fung, Rómer Rosales
TSMC
2002
112views more  TSMC 2002»
13 years 5 months ago
An efficient algorithm for automatically generating multivariable fuzzy systems by Fourier series method
By exploiting the Fourier series expansion, we have developed a new constructive method of automatically generating a multivariable fuzzy inference system from any given sample set...
Liang Chen, Naoyuki Tokuda
IJHIS
2006
104views more  IJHIS 2006»
13 years 6 months ago
Incremental evolution strategy for function optimization
This paper presents a novel evolutionary approach for function optimization Incremental Evolution Strategy (IES). Two strategies are proposed. One is to evolve the input variables...
Sheng Uei Guan, Wenting Mo
SGAI
2009
Springer
13 years 10 months ago
Improving Cooperative PSO using Fuzzy Logic
PSO is a population-based technique for optimization, which simulates the social behavior of the fish schooling or bird flocking. Two significant weaknesses of this method are: fir...
Zahra Afsahi, Mohammad Reza Meybodi
EUSFLAT
2009
124views Fuzzy Logic» more  EUSFLAT 2009»
13 years 4 months ago
Development of a Fuzzy Expert System for a Nutritional Guidance Application
The importance of nutritional guidance grows as nutritional problems, such as obesity and type-2 diabetes, are becoming more common. Nutritional guidance is carried out by mapping ...
Petri Heinonen, Marjo Mannelin, Hannu Iskala, Aki ...