An adaptive neural network model for nonlinear programming problems

DOI10.1007/s102550200038zbMath1022.90032OpenAlexW1965427582MaRDI QIDQ1862808

Zhu-jun Jing, Xin-jian Zhuo, Xiang-Sun Zhang

Publication date: 13 April 2003

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

Full work available at URL: https://doi.org/10.1007/s102550200038

zbMATH Keywords

adaptive neural networkcanonical neural networkgeneral nonlinear programming

Mathematics Subject Classification ID

Nonlinear programming (90C30) Numerical methods based on nonlinear programming (49M37)

Related Items (1)

An efficient neural network for solving convex optimization problems with a nonlinear complementarity problem function

Cites Work

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• Projected quasi-Newton algorithm with trust region for constrained optimization
• Nonlinear oscillations, dynamical systems, and bifurcations of vector fields
• ``Neural computation of decisions in optimization problems
• A trust region algorithm for equality constrained optimization
• Trust region method in neural network
• Mathematical analysis of some neural networks for solving linear and quadratic programming
• A Trust Region Algorithm for Nonlinearly Constrained Optimization
• Lagrange programming neural networks
• Neurons with graded response have collective computational properties like those of two-state neurons.

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