首页> 外文会议>RF and Microwave Conference, 2004. RFM 2004. Proceedings >Traffic capacity analysis of a telephone line using artificial neural network (ANN)
【24h】

Traffic capacity analysis of a telephone line using artificial neural network (ANN)

机译:使用人工神经网络(ANN)的电话线话务量分析

获取原文

摘要

This report presents the application of an artificial neural network (ANN) for analysis of the traffic capacity of a telephone line. The objective of this paper is to forecast the network capacity (traffic) of a telephone line and identify traffic flows for the network in Shah Alam and Petaling Jaya. In this project, the back propagation ANN algorithm of has been chosen to train and test the data. The back propagation technique is selected since a large number of researchers have used it for many applications and reported its successful results in numerous technical conferences. Inputs of the analysis are weekday, weekend, public holiday and weather. A network with three and four inputs is tested and results obtained are compared in terms of analysis errors.
机译:本报告介绍了人工神经网络(ANN)在分析电话线路通信量方面的应用。本文的目的是预测电话线的网络容量(流量),并确定Shah Alam和Petaling Jaya中网络的流量。在该项目中,已选择的反向传播ANN算法来训练和测试数据。选择反向传播技术是因为大量研究人员已将其用于许多应用程序,并在众多技术会议上报告了其成功的结果。分析的输入是工作日,周末,公共假日和天气。测试具有三个和四个输入的网络,并根据分析误差比较获得的结果。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号