Self-Organizing Neural Networks Recent Advances and Applications /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Seiffert, Udo (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Heidelberg : Physica-Verlag HD : Imprint: Physica, 2002.
• Έκδοση: 1st ed. 2002.
• Σειρά: Studies in Fuzziness and Soft Computing, 78
• Θέματα: Artificial intelligence.; Computers.; Statistical physics.; Dynamical systems.; Artificial Intelligence.; Computation by Abstract Devices.; Complex Systems.; Statistical Physics and Dynamical Systems.

The Self-Organizing Map (SOM) is one of the most frequently used architectures for unsupervised artificial neural networks. Introduced by Teuvo Kohonen in the 1980s, SOMs have been developed as a very powerful method for visualization and unsupervised classification tasks by an active and innovative...

Πίνακας περιεχομένων:

• Overture
• Measures for the Organization of Self-Organizing Maps
• Unsupervised Learning and Self-Organization in Networks of Spiking Neurons
• Generative Probability Density Model in the Self-Organizing Map
• Growing Multi-Dimensional Self-Organizing Maps for Motion Detection
• Extensions and Modifications of the Kohonen-SOM and Applications in Remote Sensing Image Analysis
• Modeling Speech Processing and Recognition in the Auditory System Using the Multilevel Hypermap Architecture
• Algorithms for the Visualization of Large and Multivariate Data Sets
• Self-Organizing Maps and Financial Forecasting: an Application
• Unsupervised and Supervised Learning in Radial-Basis-Function Networks
• Parallel Implementations of Self-Organizing Maps.