Perceptron type learning algorithms in nonseparable situations

DOI10.1016/0022-247X(67)90141-2zbMath0178.23202OpenAlexW2094302330MaRDI QIDQ2533132

Arthur R. Butz

Publication date: 1967

Published in: Journal of Mathematical Analysis and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0022-247x(67)90141-2

zbMATH Keywords

mathematical biology

Related Items (1)

Perceptron type learning algorithms in nonseparable situations

Cites Work

• The geometry of convergence of simple perceptrons
• Theoretical foundations of the potential function method in pattern recognition learning
• Perceptron type learning algorithms in nonseparable situations
• The Perceptron: A Model for Brain Functioning. I
• A geometric test-synthesis procedure for a threshold device
• A Problem in Pattern Recognition
• The Relationship of Algorithms Used with Adjustable Threshold Elements to Differential Equations
• A Class of Iterative Procedures for Linear Inequalities
• The Relaxation Method for Linear Inequalities
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