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CORR
2007
Springer
104views Education» more  CORR 2007»
15 years 4 months ago
The Parameter-Less Self-Organizing Map algorithm
—The parameterless self-organizing map (PLSOM) is a new neural network algorithm based on the self-organizing map (SOM). It eliminates the need for a learning rate and annealing ...
Erik Berglund, Joaquin Sitte
NN
2008
Springer
152views Neural Networks» more  NN 2008»
15 years 4 months ago
Compact silicon neuron circuit with spiking and bursting behaviour
A silicon neuron circuit that produces spiking and bursting firing patterns, with biologically plausible spike shape, is presented. The circuit mimics the behaviour of known class...
Jayawan H. B. Wijekoon, Piotr Dudek
NN
2006
Springer
128views Neural Networks» more  NN 2006»
15 years 4 months ago
Topographic map formation of factorized Edgeworth-expanded kernels
We introduce a new learning algorithm for topographic map formation of Edgeworth-expanded Gaussian activation kernels. In order to avoid the rapid increase in kernel parameters, a...
Marc M. Van Hulle
NN
2006
Springer
15 years 4 months ago
SOM's mathematics
- Since the discovery of the SOMs by T. Kohonen, many results have been found in order to get a better description of their behaviour. Most of them are very convincing but from a m...
Jean-Claude Fort
NN
2006
Springer
146views Neural Networks» more  NN 2006»
15 years 4 months ago
Comparison of relevance learning vector quantization with other metric adaptive classification methods
The paper deals with the concept of relevance learning in learning vector quantization and classification. Recent machine learning approaches with the ability of metric adaptation...
Thomas Villmann, Frank-Michael Schleif, Barbara Ha...