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MLMTA
2007
14 years 11 months ago
A Novel Hybrid Neural Network for Data Clustering
- Clustering plays an indispensable role for data analysis. Many clustering algorithms have been developed. However, most of them suffer either poor performance of unsupervised lea...
Donghai Guan, Andrey Gavrilov, Weiwei Yuan, Young-...
ICPPW
2003
IEEE
15 years 3 months ago
Parallelization of Cellular Neural Networks for Image Processing on Cluster Architectures
In this paper a simple but effective approach for parallelization of cellular neural networks for image processing is developed. Digital gray-scale images were used to evaluate th...
Thomas Weishäupl, Erich Schikuta
IWANN
2009
Springer
15 years 4 months ago
Automatic Generation of Biped Walk Behavior Using Genetic Algorithms
Controlling a biped robot with several degrees of freedom is a challenging task that takes the attention of several researchers in the fields of biology, physics, electronics, com...
Hugo Picado, Marcos Gestal, Nuno Lau, Luís ...
GECCO
2010
Springer
191views Optimization» more  GECCO 2010»
15 years 2 months ago
Initialization parameter sweep in ATHENA: optimizing neural networks for detecting gene-gene interactions in the presence of sma
Recent advances in genotyping technology have led to the generation of an enormous quantity of genetic data. Traditional methods of statistical analysis have proved insufficient i...
Emily Rose Holzinger, Carrie C. Buchanan, Scott M....
BMCBI
2006
146views more  BMCBI 2006»
14 years 9 months ago
Optimized Particle Swarm Optimization (OPSO) and its application to artificial neural network training
Background: Particle Swarm Optimization (PSO) is an established method for parameter optimization. It represents a population-based adaptive optimization technique that is influen...
Michael Meissner, Michael Schmuker, Gisbert Schnei...