Prediction of spreading processes using a supervised Self-Organizing Map.
Dimitrios MoshouKoen DeprezHerman RamonPublished in: Math. Comput. Simul. (2004)
Keyphrases
- self organizing maps
- unsupervised learning
- neural network
- radial basis function network
- competitive learning
- neural gas
- topology preserving
- k means
- som neural network
- learning vector quantization
- input data
- growing self organizing map
- probabilistic neural network
- prediction model
- supervised learning
- machine learning
- feature maps
- feature selection
- semi supervised
- probabilistic model
- image segmentation
- visualization methods
- computer vision