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Title:
a new congestion control model based on fuzzy neural networks
Author: Liu Lixiang ; Zhao Junsuo ; Zhang Wenjun ; Xu Fanjiang
Conference Name: IMACS Multiconference on Computational Engineering in Systems Applications (CESA 2006)
Conference Date: OCT 04-06,
Issued Date: 2006
Conference Place: Beijing, PEOPLES R CHINA
Keyword: P2P ; congestion control ; fuzzy neural networks (FNNs)
Publisher: 2006 IMACS: Multiconference on Computational Engineering in Systems Applications, Vols 1 and 2
Publish Place: TSINGHUA UNIVERSITY HAIDIANQU, BEIJING 100084, PEOPLES R CHINA
ISBN: 978-7-302-13922-5
Department: Chinese Acad Sci, Inst Software, Beijing 100080, Peoples R China.
Sponsorship: IMACS, IEEE SMC Soc, Tsinghua Univ, Ecole Centrale Lille, Ecole Natl Superieure Arts & Ind Textiles, Natl Nat Sci Fdn China
English Abstract: In this paper, a new congestion control model based on fuzzy neural networks (FNNs) is proposed for P2P network, which considers the practical status of data buffer and P2P traffic. The proposed model divides buffer into two queues which store
Content Type: 会议论文
URI: http://ir.iscas.ac.cn/handle/311060/12096
Appears in Collections:综合信息系统技术国家级重点实验室 _会议论文

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Recommended Citation:
Liu Lixiang,Zhao Junsuo,Zhang Wenjun,et al. a new congestion control model based on fuzzy neural networks[C]. 见:IMACS Multiconference on Computational Engineering in Systems Applications (CESA 2006). Beijing, PEOPLES R CHINA. OCT 04-06,.
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