The threshold effect of a nonlinear learning algorithm for pattern recognition

DOI10.1016/0020-0255(70)90033-2zbMath0199.51502OpenAlexW2053682557MaRDI QIDQ2540659

Yanyan Li

Publication date: 1970

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0020-0255(70)90033-2

zbMATH Keywords

computer science and automata

Related Items (2)

Effect of wrong samples on the convergence of learning processes. II: A remedy ⋮ Some applications of GGA for automatic learning of class parameters in presence of wrong samples

Cites Work

• The use of the stochastic-approximation method when the possibility arises of errors of the 'miss' type
• A 32-point n=12, d=5 code (Corresp.)
• A note on learning for Gaussian properties
• Slippage Problems
• On optimum recognition error and reject tradeoff
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