A characterization of the existence of energies for neural networks

DOI10.1007/3-540-60084-1_106zbMath1412.68180OpenAlexW1579976305MaRDI QIDQ4645212

Michel Cosnard, Eric Goles Chacc

Publication date: 10 January 2019

Published in: Automata, Languages and Programming (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/3-540-60084-1_106

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (1)

Eric Goles

Cites Work

• Unnamed Item
• Decreasing energy functions as a tool for studying threshold networks
• Transient length in sequential iteration of threshold functions
• Neural networks and physical systems with emergent collective computational abilities.

This page was built for publication: A characterization of the existence of energies for neural networks