An Augmented Neural Network for Solving Linear and Quadratic Programming Problems

夏又生; 吴新余

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An Augmented Neural Network for Solving Linear and Quadratic Programming Problems

更新时间：2025-12-08

- An Augmented Neural Network for Solving Linear and Quadratic Programming Problems
- Acta Electronica Sinica Issue 1, (1995)
- 作者机构：
  
  南京邮电学院
- 作者简介：
- 基金信息：
- DOI：
  CLC： O221
- Published：1995
- 稿件说明：
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[1]夏又生,吴新余.解线性及二次型规划问题增广的神经网络[J].电子学报,1995(01):67-72.

夏又生, 吴新余. An Augmented Neural Network for Solving Linear and Quadratic Programming Problems[J]. Acta Electronica Sinica, 1995, (1).
[1]夏又生,吴新余.解线性及二次型规划问题增广的神经网络[J].电子学报,1995(01):67-72. DOI：

夏又生, 吴新余. An Augmented Neural Network for Solving Linear and Quadratic Programming Problems[J]. Acta Electronica Sinica, 1995, (1). DOI：

摘要

本文提出了一个解线性及二次型规划问题增广的神经网络模型，证明了该网络是全局稳定于平衡点，而平衡点就是线性及二次型规划问题的解，该网络的优点是能够实时获得问题的精确解，且可以同时获得带等式或不等式约束的对偶问题解。该网络易于电路实现．

Abstract

In this paper

an augmented neural network for solving linear and quadratic programming problems is given.It is shown that the new network system is globally convergent to a solution to the problem.The network is capable of achieving the exact solution and solving both the primal problem and dual problem simultaneoursly.

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