Optimizing satellite broadcast scheduling problem using mean field annealing theory and Hopfield model neural network

被引：3
|
作者：
Ramachandran, R [1 ]
机构：
[1] Sri Venkateswara Coll Engn, Dept Informat Technol, Sriperumbudur 602105, India
来源：
IETE TECHNICAL REVIEW | 2003年 / 20卷 / 06期
关键词：
Mean field annealing theory - Satellite broadcast scheduling;
D O I：
10.1080/02564602.2003.11417115
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：
A discussion has been carried out on the features of neural networks and the applications of Hopfield model neural network in solving the combinatorial optimization problems. Satellite broadcast scheduling problem has been considered, for example. A new method has been presented for optimizing the satellite broadcast schedules based on the Hopfield neural model in combination with the mean field annealing theory.
引用
收藏
页码：553 / 559
页数：7
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