The emergence of fuzzy sets in the decade of the perceptron -- Lotfi A. Zadeh's and Frank Rosenblatt's research work on pattern classification

DOI10.3390/math6070110zbMath1515.68021OpenAlexW2809853804WikidataQ129618519 ScholiaQ129618519MaRDI QIDQ6104290

Rudolf Seising

Publication date: 15 June 2023

Published in: Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3390/math6070110

zbMATH Keywords

fuzzy setspattern classificationartificial neural networksperceptronLotfi A. ZadehFrank Rosenblatt

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10) History of computer science (68-03)

Cites Work

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• Abstraction and pattern classification
• Pattern separation by convex programming
• The probability problem of pattern recognition learning and the method of potential functions
• The method of potential functions for the problem of restoring the characteristic of a function converter from randomly observed points
• Theoretical foundations of the potential function method in pattern recognition learning
• Die Lernmatrix
• The Perceptron: A Model for Brain Functioning. I
• Neural networks and physical systems with emergent collective computational abilities.
• Fuzzy sets
• A logical calculus of the ideas immanent in nervous activity

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