Prediction for network traffic of radial basis function neural network model based on improved particle swarm optimization algorithm-Reference-Cited by-同舟云学术

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Prediction for network traffic of radial basis function neural network model based on improved particle swarm optimization algorithm

Published:2016-08-13 Issue:4 Volume:29 Page:1143-1152
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Zhang Weijie,Wei Dengfeng

Funder

the Science and technology research project of Education Department of Jilin Province

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

http://link.springer.com/article/10.1007/s00521-016-2483-5/fulltext.html

Reference30 articles.

1. Leland WE, Taqqu NS, Willinger W et al (1994) On the self-similar nature of Ethernet traffic. IEEE/ACM Trans Netw 2(1):1–15

2. Beran J, Sherman R, Taqqu MS et al (1995) Long-range dependence in variable-bit-rate video traffic. IEEE Trans Commun 43(2/3/4):1566–1579

3. Crovella ME, Bestavros A (1997) Self-similarity in world wide web traffic: evidence and possible cause. IEEE/ACM Trans Netw (TON) 5(6):835–846

4. Park K, Walter Willinger W (2000) Self-similar network traffic and performance evaluation. Wiley, New York

5. Roughan M, Veitch D, Abry P (2000) Real-time estimation of the parameters of long-range dependence. IEEE/ACM Trans Netw (TON) 8(4):467–479

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