DocumentCode
353344
Title
A Hopfield neural network flow classifier in IP switching
Author
Li, Lianyuan ; Liu, Zemin ; Zhou, Zheng
Author_Institution
Beijing Univ. of Posts & Telecommun., China
Volume
5
fYear
2000
fDate
2000
Firstpage
398
Abstract
Flow classification in an IP switch is discussed. Different traditional flow classifiers are briefly introduced. Then a Hopfield neural network flow classifier (HNNC) is proposed. It can detect services as suitable for switching in accordance with the virtual circuit space of the IP switch. The simulation results show that services suitable to be switched are detected by HNNC and the majority of packets are assigned to a minimum number of flows
Keywords
Hopfield neural nets; packet switching; transport protocols; Hopfield neural network flow classifier; IP switching; packet assignment; traditional flow classifiers; virtual circuit space; Asynchronous transfer mode; Circuits; Hopfield neural networks; Intelligent networks; Internet; Packet switching; Switches; TCPIP; Telecommunication switching; Virtual colonoscopy;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2000. IJCNN 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on
Conference_Location
Como
ISSN
1098-7576
Print_ISBN
0-7695-0619-4
Type
conf
DOI
10.1109/IJCNN.2000.861502
Filename
861502
Link To Document