Rules of forming receptive fields of formal neurons during unsupervised learning processes

DOI10.1007/BF00337284zbMath0492.92011OpenAlexW2037400469WikidataQ62048847 ScholiaQ62048847MaRDI QIDQ1168247

Leon Bobrowski

Publication date: 1982

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

Full work available at URL: https://doi.org/10.1007/bf00337284

zbMATH Keywords

unsupervised learning algorithmsnets of formal neuronssupervised learning processes

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Circuits, networks (94C99) Communication, information (94A99) Physiological, cellular and medical topics (92Cxx)

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Cites Work

• Unnamed Item
• Comparison of two unsupervised learning algorithms
• Fast adaptive formation of orthogonalizing filters and associative memory in recurrent networks of neuron-like elements
• Neural theory of association and concept-formation
• Learning processes in multilayer threshold nets

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