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GECCO
2003
Springer
120views Optimization» more  GECCO 2003»
14 years 1 months ago
New Usage of SOM for Genetic Algorithms
Abstract. Self-Organizing Map (SOM) is an unsupervised learning neural network and it is used for preserving the structural relationships in the data without prior knowledge. SOM h...
Jung Hwan Kim, Byung Ro Moon
GECCO
2006
Springer
178views Optimization» more  GECCO 2006»
14 years 3 days ago
A dynamic approach to artificial immune systems utilizing neural networks
The purpose of this work is to propose an immune-inspired setup to use a self-organizing map as a computational model for the interaction of antigens and antibodies. The proposed ...
Stefan Schadwinkel, Werner Dilger
APVIS
2006
13 years 10 months ago
Visualizing multivariate network on the surface of a sphere
A multivariate network is a graph whose nodes contain multi-dimensional attributes. We propose a method to visualize such a network using spherical Self-Organizing Map (SOM) and c...
Yingxin Wu, Masahiro Takatsuka
ESANN
2006
13 years 10 months ago
An algorithm for fast and reliable ESOM learning
The training of Emergent Self-organizing Maps (ESOM ) with large datasets can be a computationally demanding task. Batch learning may be used to speed up training. It is demonstrat...
Mario Nöcker, Fabian Mörchen, Alfred Ult...
SASO
2008
IEEE
14 years 2 months ago
Hierarchical Organizations and a Supporting Software Architecture for Floating Car Data
The use of floating car data is an interesting method to monitor traffic. Vehicles act as local traffic sensors and data from individual vehicles is aggregated into higher-leve...
Robrecht Haesevoets, Danny Weyns, Tom Holvoet, Wou...