Quantitative measures for self-organizing topographic maps

DOI10.1007/BF02228855zbMath0894.92004OpenAlexW2018567947WikidataQ108613023 ScholiaQ108613023MaRDI QIDQ4391009

Włodzisław Duch

Publication date: 10 September 1998

Published in: Open Systems & Information Dynamics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf02228855

zbMATH Keywords

nonlinear algebraic equationsminimization principlebest low-dimensional representationself-organizing topographic maps

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Neural networks for/in biological studies, artificial life and related topics (92B20)

Related Items (1)

Feature space mapping as a universal adaptive system

Cites Work

• Unnamed Item
• Optimization by Simulated Annealing
• Self-organization and associative memory
• Self-organization of associative memory and pattern classification: Recurrent signal processing on topological feature maps
• Self-organized formation of topologically correct feature maps
• Topographic organization of nerve fields
• On the topology distortion in self-organizing feature maps
• Dual processes in neural network models. II. Analysis of zero-temperature fixed-point equations

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