A Routing Approach Based on Load Prediction Using Neural Network

DONG Jun; PAN Yun-he

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A Routing Approach Based on Load Prediction Using Neural Network

更新时间：2025-07-16

- A Routing Approach Based on Load Prediction Using Neural Network
- Acta Electronica Sinica Vol. 29, Issue 2, Pages: 257-259(2001)
- 作者机构：
  
  1. 浙江大学人工智能研究所,杭州,310027
  2. 上海贝尔有限公司,上海,201206
  3. 浙江大学人工智能研究所杭州,310027
  4. 上海贝尔有限公司上海,201206
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP393TN913
- Published：2001
- 稿件说明：
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DONG Jun, PAN Yun-he. A Routing Approach Based on Load Prediction Using Neural Network[J]. Acta Electronica Sinica, 2001, 29(2): 257-259.
DOI：

DONG Jun, PAN Yun-he. A Routing Approach Based on Load Prediction Using Neural Network[J]. Acta Electronica Sinica, 2001, 29(2): 257-259. DOI：

摘要

电信网路由选择方法的优劣直接影响着网络的接通率和负荷平衡程度.我国电信网的接通率只有45%左右.据介绍

若其接通率提高一个百分点

收益可达10亿元.本文针对目前所使用的路由选择方法的不足

提出基于神经网络预测的新的路由选择方法

包括性能指标、选路思想和递归神经网络预测等.然后

分析和比较仿真结果.这个方法因良好的分布特性和智能决策能力而优于其它方法

这为提高业务接通率和平衡网络负荷提供了良好途径.

Abstract

Routing approach influences the switch rate and load equilibrium of network directly.In China mainland

network switch rate is about 45%.It is said that raising one percent of switch rate of current telecommunications network will result in revenue almost one billion Yuan RMB.In the paper

on the bases of demerit-analysis of route-selecting methods being used in switch

a new routing approach based on neural network prediction was presented

including performance indicators

routing method

and recurrent neural network prediction.After that

simulation results were analyzed and compared.It's better by virtue of its better distribution and intelligent decision ability

and provides excellent solution to improve network switch rate and balance network load.

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