Path: Top -> Journal -> Telkomnika -> 2014 -> Vol 12, No 1: March
Research on Traffic Identification Based on Multi Layer Perceptron
Research on Traffic Identification Based on Multi Layer Perceptron
Journal from gdlhub / 2016-11-12 03:33:06Oleh : Dingding Zhou, Wei Liu, Wengang Zhou, Shi Dong, Telkomnika
Dibuat : 2014-03-01, dengan 1 file
Keyword : Multilayer neural network; Flow identification; Learning rate
Url : http://journal.uad.ac.id/index.php/TELKOMNIKA/article/view/5
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.
Deskripsi Alternatif :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.
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ID Publisher | gdlhub |
Organisasi | Telkomnika |
Nama Kontak | Herti Yani, S.Kom |
Alamat | Jln. Jenderal Sudirman |
Kota | Jambi |
Daerah | Jambi |
Negara | Indonesia |
Telepon | 0741-35095 |
Fax | 0741-35093 |
E-mail Administrator | elibrarystikom@gmail.com |
E-mail CKO | elibrarystikom@gmail.com |
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