<p>Scheme of the Kohonen NN. Each input vector 5BLC(k), on the left, activates every point of the 2D Kohonen map KOHM(i,j) by the 3D synapses matrix W(i,j,k). The values of W(i,j,k) are trained to cluster the input vectors in the self classified 2D Kohonen map.</p
The SOM architecture, training, and the self-organizing feature map is a popular neural network mode...
Ritter H, Schulten K. Extending Kohonens Self-Organizing Mapping Algorithm to Learn Ballistic Moveme...
In this paper Kohonen feature map is applied to the so-called two-spiral problem. Even if this netwo...
Ritter H, K S. Kohonens Self-Organizing Maps: Exploring their Computational Capabilities. In: IEEE ...
The problems with artificial neuron systems, or, more precisely, with self-organising neuron systems...
The goal of this project is to demonstrate that the Kohonen self-organizing map is a physiologically...
In this article the problem of clustering massive data sets, which are represented in the matrix for...
This work extends the Kohonen self-organising map in two primary ways: o A dynamic extension to the ...
<p>Neighbourhood matrix of LC6 classes, calculated as that of <a href="http://www.plosone.org/articl...
Analysis of methods for optimizing algorithms of functioning of the Kohonen neural networks, self-or...
We investigate the combination of the Kohonen networks with the kernel methods in the context of cla...
Kohonen maps are self-organizing neural networks that classify and quantify n-dimensional data into ...
Contains fulltext : 112315.pdf (publisher's version ) (Open Access
Ritter H. Self-Organizing Feature Maps: Kohonen Maps. In: Arbib MA, ed. The handbook of brain theory...
Vector Quantization (VQ) and Clustering are significantly important in the field of data mining and ...
The SOM architecture, training, and the self-organizing feature map is a popular neural network mode...
Ritter H, Schulten K. Extending Kohonens Self-Organizing Mapping Algorithm to Learn Ballistic Moveme...
In this paper Kohonen feature map is applied to the so-called two-spiral problem. Even if this netwo...
Ritter H, K S. Kohonens Self-Organizing Maps: Exploring their Computational Capabilities. In: IEEE ...
The problems with artificial neuron systems, or, more precisely, with self-organising neuron systems...
The goal of this project is to demonstrate that the Kohonen self-organizing map is a physiologically...
In this article the problem of clustering massive data sets, which are represented in the matrix for...
This work extends the Kohonen self-organising map in two primary ways: o A dynamic extension to the ...
<p>Neighbourhood matrix of LC6 classes, calculated as that of <a href="http://www.plosone.org/articl...
Analysis of methods for optimizing algorithms of functioning of the Kohonen neural networks, self-or...
We investigate the combination of the Kohonen networks with the kernel methods in the context of cla...
Kohonen maps are self-organizing neural networks that classify and quantify n-dimensional data into ...
Contains fulltext : 112315.pdf (publisher's version ) (Open Access
Ritter H. Self-Organizing Feature Maps: Kohonen Maps. In: Arbib MA, ed. The handbook of brain theory...
Vector Quantization (VQ) and Clustering are significantly important in the field of data mining and ...
The SOM architecture, training, and the self-organizing feature map is a popular neural network mode...
Ritter H, Schulten K. Extending Kohonens Self-Organizing Mapping Algorithm to Learn Ballistic Moveme...
In this paper Kohonen feature map is applied to the so-called two-spiral problem. Even if this netwo...
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