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Titlebook: Neural Information Processing; 19th International C Tingwen Huang,Zhigang Zeng,Chi Sing Leung Conference proceedings 2012 Springer-Verlag B

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发表于 2025-3-21 16:53:58 | 显示全部楼层 |阅读模式
书目名称Neural Information Processing
副标题19th International C
编辑Tingwen Huang,Zhigang Zeng,Chi Sing Leung
视频video
概述Fast track conference proceedings.Unique visibility.State of the art research
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Neural Information Processing; 19th International C Tingwen Huang,Zhigang Zeng,Chi Sing Leung Conference proceedings 2012 Springer-Verlag B
描述The five volume set LNCS 7663, LNCS 7664, LNCS 7665, LNCS 7666 and LNCS 7667 constitutes the proceedings of the 19th International Conference on Neural Information Processing, ICONIP 2012, held in Doha, Qatar, in November 2012. .The 423 regular session papers presented were carefully reviewed and selected from numerous submissions. These papers cover all major topics of theoretical research, empirical study and applications of neural information processing research. The 5 volumes represent 5 topical sections containing articles on theoretical analysis, neural modeling, algorithms, applications, as well as simulation and synthesis.
出版日期Conference proceedings 2012
关键词computational neuroscience; fuzzy inference system; intrusion detection; nonlinear systems; self-organiz
版次1
doihttps://doi.org/10.1007/978-3-642-34475-6
isbn_softcover978-3-642-34474-9
isbn_ebook978-3-642-34475-6Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2012
The information of publication is updating

书目名称Neural Information Processing影响因子(影响力)




书目名称Neural Information Processing影响因子(影响力)学科排名




书目名称Neural Information Processing网络公开度




书目名称Neural Information Processing网络公开度学科排名




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书目名称Neural Information Processing被引频次学科排名




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书目名称Neural Information Processing读者反馈学科排名




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Neural Information Processing978-3-642-34475-6Series ISSN 0302-9743 Series E-ISSN 1611-3349
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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/n/image/663613.jpg
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https://doi.org/10.1007/978-3-642-34475-6computational neuroscience; fuzzy inference system; intrusion detection; nonlinear systems; self-organiz
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Tingwen Huang,Zhigang Zeng,Chi Sing LeungFast track conference proceedings.Unique visibility.State of the art research
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Design of Distribution Independent Noise Filters with Online PDF Estimationof probability density function estimation and dynamic state estimation. Novel on-line probability density estimation techniques, using various unsupervised kernel based methods are presented. The proposed methods are stable, based on simple but flexible representations and are computationally tract
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Determining Effective Connectivity from FMRI Data Using a Gaussian Dynamic Bayesian Networkused to determine the effective connectivity from functional magnetic resonance imaging (fMRI) data in an exploratory manner and provide a new method for the interactions among brain regions. However, Gaussian BN ignores the temporal relationships of interactions among brain regions, while discrete
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