Unsupervised Learning with Dynamic Cell Structures (DCS) Neural Network
The Dynamic Cell Structure (DCS-GCS) ANN belongs to the class of Topology Representing Networks (TRN's). It can learn supervised and unsupervised. Here, the unsupervised learning mode is implemented and demonstrated. It's learning method employs a combination of modified Kohonen learning to adjust the neuron's positions, with a sort of competitive Hebbian learning for its connections. For details please consult ref. [1]. In order to make the main script (dcs.m) functional, you must first select and generate a manifold (data) using the corresponding data generator.
REFERENCE
[1] Bruske J., Sommer G., "Dynamic Cell Structure Learns Perfectly Topology Preserving Map", Neural Computation, vol. 7, Issue 4, July 1995, pp. 845-865.
Citar como
Ilias Konsoulas (2024). Unsupervised Learning with Dynamic Cell Structures (DCS) Neural Network (https://www.mathworks.com/matlabcentral/fileexchange/43572-unsupervised-learning-with-dynamic-cell-structures-dcs-neural-network), MATLAB Central File Exchange. Recuperado .
Compatibilidad con la versión de MATLAB
Compatibilidad con las plataformas
Windows macOS LinuxCategorías
- AI, Data Science, and Statistics > Deep Learning Toolbox > Function Approximation, Clustering, and Control >
Etiquetas
Agradecimientos
Inspiración para: Unsupervised Learning with Growing Neural Gas (GNG) Neural Network
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!Descubra Live Editor
Cree scripts con código, salida y texto formateado en un documento ejecutable.