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Authors: Dandan Li 1 ; Xiaomin Zhu 2 and Xiaopu Shang 1

Affiliations: 1 Institute of Information Systems, Beijing Jiaotong Universit, China ; 2 School of Mechanical, Beijing Jiaotong University, China

Keyword(s): Cognitive network, Traffic prediction, Neural network, Wavelet, Auto-regression.

Abstract: With the development of the network technology, the concept of Cognitive Network has been proposed and studied, and various kinds of algorithms and models in Cognitive Networks thus have become an hot topic of research. This paper proposes a novel model, which includes three stages. The proposed model may achieve a high-precision traffic prediction in cognitive networks. The model solves some problems in cognitive networks, such as low adaptive capability and an easy trap in local optimum when coming up with a fluctuated network flow.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Li, D.; Zhu, X. and Shang, X. (2010). A NOVEL COMBINED NETWORK TRAFFIC PREDICTION MODEL IN COGNITIVE NETWORKS. In Proceedings of the Twelfth International Conference on Informatics and Semiotics in Organisations - ICISO, ISBN 978-989-8425-26-3, pages 205-211. DOI: 10.5220/0003268502050211

@conference{iciso10,
author={Dandan Li. and Xiaomin Zhu. and Xiaopu Shang.},
title={A NOVEL COMBINED NETWORK TRAFFIC PREDICTION MODEL IN COGNITIVE NETWORKS},
booktitle={Proceedings of the Twelfth International Conference on Informatics and Semiotics in Organisations - ICISO,},
year={2010},
pages={205-211},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003268502050211},
isbn={978-989-8425-26-3},
}

TY - CONF

JO - Proceedings of the Twelfth International Conference on Informatics and Semiotics in Organisations - ICISO,
TI - A NOVEL COMBINED NETWORK TRAFFIC PREDICTION MODEL IN COGNITIVE NETWORKS
SN - 978-989-8425-26-3
AU - Li, D.
AU - Zhu, X.
AU - Shang, X.
PY - 2010
SP - 205
EP - 211
DO - 10.5220/0003268502050211