Full-Text Search:
Home|Journal Papers|About CNKI|User Service|FAQ|Contact Us|中文
《Journal of Beijing University of Posts and Telecommunications》 2001-02
Add to Favorite Get Latest Update

A Novel Neural Network Method in ATM Traffic Control

ZHANG Su bing, LIU Ze min (Telecommunication Engineering School, Beijing University of Posts and Telecommunications, Beijing 100876,China)  
A novel neural network method is used to build an efficient network traffic controller.It is that we use ant algorithm in neural network weights training for ATM traffic control.The simulation results show that this approach is efficient and feasible.
【Fund】: 原邮电部重点资助项目!( 980 61 )
【CateGory Index】: TN915.2
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
©2006 Tsinghua Tongfang Knowledge Network Technology Co., Ltd.(Beijing)(TTKN) All rights reserved