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TNN
2008
181views more  TNN 2008»
13 years 7 months ago
Optimized Approximation Algorithm in Neural Networks Without Overfitting
In this paper, an optimized approximation algorithm (OAA) is proposed to address the overfitting problem in function approximation using neural networks (NNs). The optimized approx...
Yinyin Liu, Janusz A. Starzyk, Zhen Zhu
CEC
2007
IEEE
14 years 1 months ago
Towards a generic control strategy for Evolutionary Algorithms: an adaptive fuzzy-learning approach
— This paper presents a new method to generalize strategies in order to control parameters of Evolutionary Algorithms (EAs). A learning process establishes the relationship betwe...
Jorge Maturana, Frédéric Saubion
EMO
2009
Springer
159views Optimization» more  EMO 2009»
14 years 2 months ago
Recombination for Learning Strategy Parameters in the MO-CMA-ES
The multi-objective covariance matrix adaptation evolution strategy (MO-CMA-ES) is a variable-metric algorithm for real-valued vector optimization. It maintains a parent population...
Thomas Voß, Nikolaus Hansen, Christian Igel
DATE
2008
IEEE
137views Hardware» more  DATE 2008»
14 years 1 months ago
SPARE - a Scalable algorithm for passive, structure preserving, Parameter-Aware model order REduction
In this paper we describe a flexible and efficient new algorithm for model order reduction of parameterized systems. The method is based on the reformulation of the parametric s...
Jorge Fernandez Villena, Luis Miguel Silveira
IWANN
2005
Springer
14 years 27 days ago
Adaptive Power System Stabilizer Using ANFIS and Genetic Algorithms
— This paper presents an adaptive Power System Stabilizer (PSS) using an Adaptive Network Based Fuzzy Inference System (ANFIS) and Genetic Algorithms (GAs). Firstly, genetic algo...
Jesús Fraile-Ardanuy, Pedro J. Zufiria