Recurrent neural network model based on projective operator and its application to optimization problems

DOI10.1007/S10483-006-0415-ZzbMath1185.68549OpenAlexW2087032464MaRDI QIDQ944661

Runing Ma, Tian-Ping Chen

Publication date: 17 September 2008

Published in: Applied Mathematics and Mechanics. (English Edition) (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10483-006-0415-z

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Cites Work

• Unnamed Item
• Unnamed Item
• ``Neural computation of decisions in optimization problems
• New constrained optimization reformulation of complementarity problems
• A smoothing Newton method for general nonlinear complementarity problems
• A discrete-time recurrent neural network for shortest-path routing
• EXTENSION OF NEWTON AND QUASI-NEWTON METHODS TO SYSTEMS OF PC^1 EQUATIONS
• A projection neural network and its application to constrained optimization problems

This page was built for publication: Recurrent neural network model based on projective operator and its application to optimization problems