On the performance of single-layered neural networks

DOI10.1007/BF00203135zbMath0763.92002OpenAlexW2009035571WikidataQ44707491 ScholiaQ44707491MaRDI QIDQ1202336

Nicolaos B. Karayiannis, Anastasios N. Venetsanopoulos

Publication date: 23 February 1993

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

Full work available at URL: https://doi.org/10.1007/bf00203135

zbMATH Keywords

capacitysingle-layer neural networksinfinite series expansion of the network equationsleast-squares optimality criterionoptimal training algorithmouter-product training rulesub-optimal least- squares training algorithm

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20)

Related Items (1)

On the training and performance of high-order neural networks

Cites Work

• Unnamed Item
• Unnamed Item
• Regression and the Moore-Penrose pseudoinverse
• A simple neural network generating an interactive memory
• The capacity of the Hopfield associative memory
• Neural networks and physical systems with emergent collective computational abilities.
• Correlation Matrix Memories

This page was built for publication: On the performance of single-layered neural networks