An analysis of Kohonen's self-organizing maps using a system of energy functions

DOI10.1007/BF02331345zbMath0711.92002WikidataQ52504856 ScholiaQ52504856MaRDI QIDQ922980

V. V. Tolat

Publication date: 1990

Published in: Biological Cybernetics (Search for Journal in Brave)

zbMATH Keywords

networkdimensionalityformation of topologically correct mapsself-organizing feature mapssteady-state weight valuessystem of energy functions

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Circuits, networks (94C99)

Related Items (8)

A self-organizing cluster process ⋮ Auto-SOM: Recursive Parameter Estimation for Guidance of Self-Organizing Feature Maps ⋮ Concerning the differentiability of the energy function in vector quantization algorithms ⋮ Conformality in the self-organization network ⋮ Self-organizing maps: Ordering, convergence properties and energy functions ⋮ Kohonen neural networks and genetic classification ⋮ Smoothly distributed fuzzy \(c\)-means: A new self-organizing map ⋮ Transition times in self-organizing maps

Cites Work

• Unnamed Item
• Self-organization and associative memory
• On the stationary state of Kohonen's self-organizing sensory mapping
• Étude d'un processus d'auto-organisation. (Study of a self-organization process)
• Convergence properties of Kohonen's topology conserving maps: Fluctuations, stability, and dimension selection
• Self-organized formation of topologically correct feature maps
• Analysis of a simple self-organizing process
• Neural networks and physical systems with emergent collective computational abilities.

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