Neural Networks Based on Lagrange Multipler for Nonlinear Programming

黄远灿; 孙圣和; 韩京清

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Neural Networks Based on Lagrange Multipler for Nonlinear Programming

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- Neural Networks Based on Lagrange Multipler for Nonlinear Programming
- Acta Electronica Sinica Issue 1, Pages: 24-28(1998)
- 作者机构：
  
  1.   中国科学院系统科学研究所!北京
  2.   100080
  3.   哈尔滨工业大学自动测试与控制系!哈尔滨
  4.   150001
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP18
- Published：1998
- 稿件说明：
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[1]黄远灿,孙圣和,韩京清.基于Lagrange乘子法的非线性规划神经网络[J].电子学报,1998(01):24-28.

黄远灿, 孙圣和, 韩京清. Neural Networks Based on Lagrange Multipler for Nonlinear Programming[J]. Acta Electronica Sinica, 1998, (1): 24-28.
[1]黄远灿,孙圣和,韩京清.基于Lagrange乘子法的非线性规划神经网络[J].电子学报,1998(01):24-28. DOI：

黄远灿, 孙圣和, 韩京清. Neural Networks Based on Lagrange Multipler for Nonlinear Programming[J]. Acta Electronica Sinica, 1998, (1): 24-28. DOI：

摘要

本文针对文献[1]中非线性规划神经网络的缺点，提出一种新的非线性规划神经网络．在文中，我们分析了网络的收敛性和稳定性，并给出其电路实现．仿真结果证明了该神经网络能有效地求解非线性规划问题．

Abstract

In this paper

a novel class of neural networks for nonlinear programming is presented to overcome the deficiences in [1]. The convergence and stability of these ed networks are analyzed

and the implementaion of their cirouits is discussed. Simulation demonstrates tha these neural networks can detively solvnonlinear programming problems.

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