A novel recursive algorithm used to model hardware programmable neighborhood mechanism of self-organizing neural networks

DOI10.1016/J.AMC.2015.03.068zbMath1410.68318OpenAlexW2074220030MaRDI QIDQ669696

Rafał Długosz, Marta Kolasa, Tomasz Talaśka

Publication date: 15 March 2019

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.amc.2015.03.068

zbMATH Keywords

recursive neighborhood mechanismsoftware and hardware implementationstopology of neural networkunsupervised learning algorithms

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (2)

Stability analysis of impulsive stochastic delayed Cohen-Grossberg neural networks driven by Lévy noise ⋮ Efficient methods of initializing neuron weights in self-organizing networks implemented in hardware

Cites Work

• A novel measure for quantifying the topology preservation of self-organizing feature maps
• Self-organizing maps.
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