Title: | a new congestion control model based on fuzzy neural networks |
Author: | Liu Lixiang
; Zhao Junsuo
; Zhang Wenjun
; Xu Fanjiang
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Conference Name: | IMACS Multiconference on Computational Engineering in Systems Applications (CESA 2006)
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Conference Date: | OCT 04-06,
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Issued Date: | 2006
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Conference Place: | Beijing, PEOPLES R CHINA
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Keyword: | P2P
; congestion control
; fuzzy neural networks (FNNs)
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Publisher: | 2006 IMACS: Multiconference on Computational Engineering in Systems Applications, Vols 1 and 2
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Publish Place: | TSINGHUA UNIVERSITY HAIDIANQU, BEIJING 100084, PEOPLES R CHINA
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ISBN: | 978-7-302-13922-5
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Department: | Chinese Acad Sci, Inst Software, Beijing 100080, Peoples R China.
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Sponsorship: | IMACS, IEEE SMC Soc, Tsinghua Univ, Ecole Centrale Lille, Ecole Natl Superieure Arts & Ind Textiles, Natl Nat Sci Fdn China
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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
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URI: | http://ir.iscas.ac.cn/handle/311060/12094
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Appears in Collections: | 基础软件国家工程研究中心_会议论文
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04281654.pdf(3226KB) | -- | -- | 限制开放 | -- | 联系获取全文 |
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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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