Research on Computer Network Optimization Model Based on Neural Network Algorithm

被引：0

作者：

Wang Yanhui ^{[1
]}

机构：

[1] Baoding Vocat & Tech Coll, Dept Comp & Informat Engn, Baoding 071000, Peoples R China

来源：

PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON MATERIALS ENGINEERING AND INFORMATION TECHNOLOGY APPLICATIONS | 2015年 / 28卷

关键词：

Neural network algorithm; Computer network; Modern optimization methods;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The rapid development of computer networks is urgently need to improve and optimize the overall performance of the network. With the characteristics of large scale parallel processing and distributed information storage, Hopfield neural network has a unique advantage of associative memory and optimization. Optimization model of neural network algorithm-based computer network, it is the combination of the Hopfield neural Network theory and reality computer networks, modern optimization methods.

引用

页码：197 / 202

页数：6

共 7 条

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