Minimal perceptrons for memorizing complex patterns

DOI10.1016/J.PHYSA.2016.06.025zbMath1400.68180arXiv1512.03850OpenAlexW2206019922MaRDI QIDQ1619854

Marissa Pastor, Danh-Tai Hoang, Juyong Song, Junghyo Jo

Publication date: 13 November 2018

Published in: Physica A (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1512.03850

zbMATH Keywords

network architecturememory storageperceptronsbinary patternsnetwork complexity

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10)

Cites Work

• Unnamed Item
• A Mathematical Theory of Communication
• Multi-class pattern classification using neural networks
• Feedforward nets for interpolation and classification
• Neural networks and physical systems with emergent collective computational abilities.
• Learning representations by back-propagating errors
• Elements of Information Theory
• Approximation by superpositions of a sigmoidal function

This page was built for publication: Minimal perceptrons for memorizing complex patterns