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用神经网技术解决DNHR及自适应滤波问题
引用本文:欧阳珉,阚超,王勇.用神经网技术解决DNHR及自适应滤波问题[J].南京邮电大学学报(自然科学版),1991(2).
作者姓名:欧阳珉  阚超  王勇
作者单位:南京邮电学院电信工程系,南京邮电学院电信工程系,南京邮电学院电信工程系
摘    要:本文利用Hopfield神经网模型,求解电话网动态无级路由选择技术DNHR(Dynamic Non-Hierarchical Routing)问题,并扩展到一切凸规划及二次型优化技术中,用以解决自适应滤波问题。

关 键 词:电话网  路由选择  自适应滤波

Approach to DNHR and Adaptive Filtering Problems by Nerve Net Technique
Ouyang Min Kan Chao Wang Yong.Approach to DNHR and Adaptive Filtering Problems by Nerve Net Technique[J].Journal of Nanjing University of Posts and Telecommunications,1991(2).
Authors:Ouyang Min Kan Chao Wang Yong
Institution:Department of Telecommunication Engineering
Abstract:The linear program problem in dynamic non-hierarchical routing(DNHR) is solved by using Hopfield's nerve net model. The second power function problem is dcalt with by the model. Furthermore, this technique is extended to the convex program and the optimization of the second power function. As a result, thc adaptive filter problem can be solved easily by this technique.
Keywords:Telephone network  Route selecting  Adaptive filtering
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