ANALOG NEURAL NETWORK FOR SOLVING THE ASSIGNMENT PROBLEM

被引：39

作者：

WANG, J

机构：

[1] Department of Industrial Technology, University of North Dakota, Grand Forks

来源：

ELECTRONICS LETTERS | 1992年 / 28卷 / 11期

关键词：

NEURAL NETWORKS; LINEAR PROGRAMMING; OPTIMIZATION;

D O I：

10.1049/el:19920664

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

An analogue neural network for solving the assignment problem is presented. The proposed analogue neural network is asymptotically stable and able to generate optimal solutions to the assignment problem. An opamp-based circuit realisation of the analogue neural network is described. An illustrative example is also discussed to demonstrate the performance and operating characteristics of the analogue neural network.

引用

页码：1047 / 1050

页数：4

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