Research on Traffic Identification Based on Multi Layer Perceptron
Dingding Zhou, Wei Liu, Wengang Zhou, Shi Dong
Abstract
In order to solve some problems of traffic identification, this paper presents a multi-layer neural network-based method for traffic identification, and multi-layer neural network parameters are analyzed, experimental results show that this method can effectively solve some problems, and can improve the classification correctness.
Keywords
Multilayer neural network; Flow identification; Learning rate
DOI:
http://doi.org/10.12928/telkomnika.v12i1.5
Refbacks
There are currently no refbacks.
This work is licensed under a
Creative Commons Attribution-ShareAlike 4.0 International License .
TELKOMNIKA Telecommunication, Computing, Electronics and Control ISSN: 1693-6930, e-ISSN: 2302-9293Universitas Ahmad Dahlan , 4th Campus Jl. Ringroad Selatan, Kragilan, Tamanan, Banguntapan, Bantul, Yogyakarta, Indonesia 55191 Phone: +62 (274) 563515, 511830, 379418, 371120 Fax: +62 274 564604
<div class="statcounter"><a title="Web Analytics" href="http://statcounter.com/" target="_blank"><img class="statcounter" src="//c.statcounter.com/10241713/0/0b6069be/0/" alt="Web Analytics"></a></div> View TELKOMNIKA Stats