Using Hopfield Neural Networks to Solve DEA Problems

被引：0

作者：

Hu, Shing-Cheng ^{[1
]}

Chung, Yun-Kung ^{[1
]}

Chen, Yun-Shiow ^{[1
]}

机构：

[1] Yuan Ze Univ, Dept Ind Engn & Management, Chungli, Taiwan

来源：

2008 IEEE CONFERENCE ON CYBERNETICS AND INTELLIGENT SYSTEMS, VOLS 1 AND 2 | 2008年

关键词：

data envelopment analysis; Hopfield neural networks; optimization; Lagrange function;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Theory and application of both artificial neural networks (ANNs) and data envelopment analysis (DEA) have gone through major growth over the past three decades; nevertheless, using ANN as an optimal algorithm for finding the DEA solution has been limited. In this paper, a Hopfield neural network is applied as a solution tool to DEA models. An illustrative example from a known DEA problem helps to gain insight into the proposed alternative DEA solution method, including its capability and limitations.

引用

页码：139 / 144

页数：6

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