Mathematical analysis of some neural networks for solving linear and quadratic programming

DOI10.1007/BF02009555zbMath0856.90079MaRDI QIDQ1920013

Xiang-Sun Zhang

Publication date: 19 August 1996

Published in: Acta Mathematicae Applicatae Sinica. English Series (Search for Journal in Brave)

zbMATH Keywords

penalty function methodartificial neural network techniquesestimation for the parameter

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Linear programming (90C05)

Related Items

Trust region method in neural network, A new trust region method for unconstrained optimization, An efficient neural network for solving convex optimization problems with a nonlinear complementarity problem function, A novel self-adaptive trust region algorithm for unconstrained optimization, An adaptive neural network model for nonlinear programming problems

Cites Work

• ``Neural computation of decisions in optimization problems
• Lagrange programming neural networks
• Neurons with graded response have collective computational properties like those of two-state neurons.
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