<p>Neighbourhood matrix of LC6 classes, calculated as that of <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0000210#pone-0000210-g003" target="_blank">Figure 3</a>, but for the Kohonen map after supervising the training with the CWT of the 6<sup>th</sup> days.</p
In this paper, a class-modeling technique based on Kohonen artificial neural networks is presented. ...
In this paper we present a software model of the Winner Takes Most (WTM) Kohonen neural network (KNN...
The SOM architecture, training, and the self-organizing feature map is a popular neural network mode...
<p>Neighbourhood matrix of LC6 classes, with rounded values of VN3(i,j)×100, for the non supervised ...
<p>Scheme of the Kohonen NN. Each input vector 5BLC(k), on the left, activates every point of the 2D...
The goal of this project is to demonstrate that the Kohonen self-organizing map is a physiologically...
Ritter H, Schulten K. Extending Kohonens Self-Organizing Mapping Algorithm to Learn Ballistic Moveme...
In this paper, empirical results are presented which suggest that size and rate of decay of region s...
SitiMariyamShamsuddin2006_KnowledgeDiscoverythroughSupervisedKohonenNetworkThis paper presents a stu...
Ritter H, K S. Kohonens Self-Organizing Maps: Exploring their Computational Capabilities. In: IEEE ...
In this paper Kohonen feature map is applied to the so-called two-spiral problem. Even if this netwo...
This work extends the Kohonen self-organising map in two primary ways: o A dynamic extension to the ...
Ritter H, Kohonen T. Learning ″Semantotopic Maps″ from Context. In: Caudill M, ed. International Joi...
Ritter H. Self-Organizing Feature Maps: Kohonen Maps. In: Arbib MA, ed. The handbook of brain theory...
AbstractIn this paper, we have considered the issue of effectively forming a representative sample f...
In this paper, a class-modeling technique based on Kohonen artificial neural networks is presented. ...
In this paper we present a software model of the Winner Takes Most (WTM) Kohonen neural network (KNN...
The SOM architecture, training, and the self-organizing feature map is a popular neural network mode...
<p>Neighbourhood matrix of LC6 classes, with rounded values of VN3(i,j)×100, for the non supervised ...
<p>Scheme of the Kohonen NN. Each input vector 5BLC(k), on the left, activates every point of the 2D...
The goal of this project is to demonstrate that the Kohonen self-organizing map is a physiologically...
Ritter H, Schulten K. Extending Kohonens Self-Organizing Mapping Algorithm to Learn Ballistic Moveme...
In this paper, empirical results are presented which suggest that size and rate of decay of region s...
SitiMariyamShamsuddin2006_KnowledgeDiscoverythroughSupervisedKohonenNetworkThis paper presents a stu...
Ritter H, K S. Kohonens Self-Organizing Maps: Exploring their Computational Capabilities. In: IEEE ...
In this paper Kohonen feature map is applied to the so-called two-spiral problem. Even if this netwo...
This work extends the Kohonen self-organising map in two primary ways: o A dynamic extension to the ...
Ritter H, Kohonen T. Learning ″Semantotopic Maps″ from Context. In: Caudill M, ed. International Joi...
Ritter H. Self-Organizing Feature Maps: Kohonen Maps. In: Arbib MA, ed. The handbook of brain theory...
AbstractIn this paper, we have considered the issue of effectively forming a representative sample f...
In this paper, a class-modeling technique based on Kohonen artificial neural networks is presented. ...
In this paper we present a software model of the Winner Takes Most (WTM) Kohonen neural network (KNN...
The SOM architecture, training, and the self-organizing feature map is a popular neural network mode...
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