FAD
发表于 2025-3-21 16:53:58
书目名称Neural Information Processing影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0663613<br><br> <br><br>书目名称Neural Information Processing影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0663613<br><br> <br><br>书目名称Neural Information Processing网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0663613<br><br> <br><br>书目名称Neural Information Processing网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0663613<br><br> <br><br>书目名称Neural Information Processing被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0663613<br><br> <br><br>书目名称Neural Information Processing被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0663613<br><br> <br><br>书目名称Neural Information Processing年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0663613<br><br> <br><br>书目名称Neural Information Processing年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0663613<br><br> <br><br>书目名称Neural Information Processing读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0663613<br><br> <br><br>书目名称Neural Information Processing读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0663613<br><br> <br><br>
用肘
发表于 2025-3-21 20:20:21
Neural Information Processing978-3-642-34475-6Series ISSN 0302-9743 Series E-ISSN 1611-3349
类型
发表于 2025-3-22 01:48:49
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/n/image/663613.jpg
昏暗
发表于 2025-3-22 08:32:00
https://doi.org/10.1007/978-3-642-34475-6computational neuroscience; fuzzy inference system; intrusion detection; nonlinear systems; self-organiz
侵略
发表于 2025-3-22 08:51:44
Tingwen Huang,Zhigang Zeng,Chi Sing LeungFast track conference proceedings.Unique visibility.State of the art research
享乐主义者
发表于 2025-3-22 13:11:30
http://reply.papertrans.cn/67/6637/663613/663613_6.png
全面
发表于 2025-3-22 20:02:30
http://reply.papertrans.cn/67/6637/663613/663613_7.png
收集
发表于 2025-3-22 23:40:15
http://reply.papertrans.cn/67/6637/663613/663613_8.png
观察
发表于 2025-3-23 02:58:12
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
优雅
发表于 2025-3-23 07:25:02
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