作业
发表于 2025-3-21 19:43:20
书目名称Neural Information Processing影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0663583<br><br> <br><br>书目名称Neural Information Processing影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0663583<br><br> <br><br>书目名称Neural Information Processing网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0663583<br><br> <br><br>书目名称Neural Information Processing网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0663583<br><br> <br><br>书目名称Neural Information Processing被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0663583<br><br> <br><br>书目名称Neural Information Processing被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0663583<br><br> <br><br>书目名称Neural Information Processing年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0663583<br><br> <br><br>书目名称Neural Information Processing年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0663583<br><br> <br><br>书目名称Neural Information Processing读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0663583<br><br> <br><br>书目名称Neural Information Processing读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0663583<br><br> <br><br>
圆锥体
发表于 2025-3-21 20:15:41
Neural Information Processing978-3-319-26555-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
军火
发表于 2025-3-22 00:58:27
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/n/image/663583.jpg
图画文字
发表于 2025-3-22 04:56:44
https://doi.org/10.1007/978-3-319-26555-1biometrics; data mining; genetic algorithm; pattern recognition; semantic Web; artificial neural networks
Ceramic
发表于 2025-3-22 09:54:32
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ingenue
发表于 2025-3-22 16:17:19
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斜
发表于 2025-3-22 20:55:47
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ACME
发表于 2025-3-22 21:59:57
Robust Tracking Control of Uncertain Nonlinear Systems Using Adaptive Dynamic Programming,tems. By selecting a discounted value function for the nominal augmented error system, we transform the robust tracking control problem into an optimal control problem. The control matrix is not required to be invertible by using the present method. Meanwhile, we employ a single critic neural networ
inundate
发表于 2025-3-23 02:15:02
Moving Target Tracking Based on Pulse Coupled Neural Network and Optical Flow,rring between moving targets and background. By using fusion ability of pulse coupled neural network (PCNN), the target regions and the background regions are fused respectively. Firstly using PCNN fuses the direction of the optical flow fusing, and extracts moving targets from video especially with
不可侵犯
发表于 2025-3-23 07:46:20
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