Add to ORKGDottorato di ricerca in robotica. 11. ciclo. Supervisore P. G. Morasso. Coordinatore G. CasalinoConsiglio Nazionale delle Ricerche - Biblioteca Centrale - P.le Aldo Moro, 7, Rome; Biblioteca Nazionale Centrale - P.za Cavalleggeri, 1, Florence / CNR - Consiglio Nazionale delle RichercheSIGLEITItal
Special issue of Neural Networks Journal after the WSOM 05 ConferenceSpecial issue of Neural Network...
Self-organizing maps (SOM) are artificial neural networks widely used in the data mining field, main...
We define a hardware controller in which a grid of processing elements (PEs) will support a set of n...
Ritter H, Martinetz T, Schulten K. Neural Computation and Self-Organizing Maps. An Introduction. Rea...
The self-organizing feature maps developed by Kohonen appear to capture some of the advantages of th...
Hammer B, Micheli a., Sperduti A. A general framework for self-organizing structure processing neura...
International audienceAs introduced by Amari, dynamic neural fields (DNF) are a mathematical formali...
This paper presents a generalized framework of a self-organizing map (SOM) applicable to more extend...
Many of the properties of the well-known Kohonen map algorithm are not easily derivable from its dis...
Ritter H, K S. Kohonens Self-Organizing Maps: Exploring their Computational Capabilities. In: IEEE ...
International audienceThis work provides theoretical conditions guaranteeing that a self-organizing ...
Ritter H. Learning with the Self-Organizing Map. In: Kohonen T, ed. Artificial neural networks : pro...
Comunicación presentada en el 2nd International Workshop on Pattern Recognition in Information Syste...
The problem of computing object-based visual representations can be construed as the development of ...
The Self-Organizing Map (SOM) is a neural network algorithm, which uses a competitive learning techn...
Special issue of Neural Networks Journal after the WSOM 05 ConferenceSpecial issue of Neural Network...
Self-organizing maps (SOM) are artificial neural networks widely used in the data mining field, main...
We define a hardware controller in which a grid of processing elements (PEs) will support a set of n...
Ritter H, Martinetz T, Schulten K. Neural Computation and Self-Organizing Maps. An Introduction. Rea...
The self-organizing feature maps developed by Kohonen appear to capture some of the advantages of th...
Hammer B, Micheli a., Sperduti A. A general framework for self-organizing structure processing neura...
International audienceAs introduced by Amari, dynamic neural fields (DNF) are a mathematical formali...
This paper presents a generalized framework of a self-organizing map (SOM) applicable to more extend...
Many of the properties of the well-known Kohonen map algorithm are not easily derivable from its dis...
Ritter H, K S. Kohonens Self-Organizing Maps: Exploring their Computational Capabilities. In: IEEE ...
International audienceThis work provides theoretical conditions guaranteeing that a self-organizing ...
Ritter H. Learning with the Self-Organizing Map. In: Kohonen T, ed. Artificial neural networks : pro...
Comunicación presentada en el 2nd International Workshop on Pattern Recognition in Information Syste...
The problem of computing object-based visual representations can be construed as the development of ...
The Self-Organizing Map (SOM) is a neural network algorithm, which uses a competitive learning techn...
Special issue of Neural Networks Journal after the WSOM 05 ConferenceSpecial issue of Neural Network...
Self-organizing maps (SOM) are artificial neural networks widely used in the data mining field, main...
We define a hardware controller in which a grid of processing elements (PEs) will support a set of n...