AN AUTOMATA-THEORETICAL APPROACH TO DEVELOPING LEARNING NEURAL NETWORKS

DOI10.1080/01969728108927670zbMath0457.68048OpenAlexW2029471032WikidataQ114944300 ScholiaQ114944300MaRDI QIDQ3907076

L. P. J. Veelenturf

Publication date: 1981

Published in: Cybernetics and Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/01969728108927670

zbMATH Keywords

neurophysiological data

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) General biology and biomathematics (92B05) Physiological, cellular and medical topics (92Cxx)

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Cites Work

• On the inference of Turing machines from sample computations
• A logical calculus of the ideas immanent in nervous activity
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