Evaluating Kohonen's learning rule: an approach through genetic algorithms.

DOI10.1016/S0377-2217(02)00643-4zbMath1099.90594OpenAlexW1986062210MaRDI QIDQ1420426

D. Massart

Publication date: 2 February 2004

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0377-2217(02)00643-4

zbMATH Keywords

Genetic algorithmNeural networkDistortion indexGradient descentSelf-organising map

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Approximation methods and heuristics in mathematical programming (90C59)

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Cites Work

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• On the stationary state of Kohonen's self-organizing sensory mapping
• Self-organizing maps: Ordering, convergence properties and energy functions
• A comparison of SOM neural network and hierarchical clustering methods
• A comparison of the classification capabilities of the 1-dimensional Kohonen neural network with two partitioning and three hierarchical cluster analysis algorithms
• Printer graphics for clustering
• Unresolved Problems in Cluster Analysis
• Some Asymptotic Results for Learning in Single Hidden-Layer Feedforward Network Models
• A Stochastic Approximation Method

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