AMUSE
发表于 2025-3-21 17:37:41
书目名称Advances in Self-Organising Maps影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0149645<br><br> <br><br>书目名称Advances in Self-Organising Maps影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0149645<br><br> <br><br>书目名称Advances in Self-Organising Maps网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0149645<br><br> <br><br>书目名称Advances in Self-Organising Maps网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0149645<br><br> <br><br>书目名称Advances in Self-Organising Maps被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0149645<br><br> <br><br>书目名称Advances in Self-Organising Maps被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0149645<br><br> <br><br>书目名称Advances in Self-Organising Maps年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0149645<br><br> <br><br>书目名称Advances in Self-Organising Maps年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0149645<br><br> <br><br>书目名称Advances in Self-Organising Maps读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0149645<br><br> <br><br>书目名称Advances in Self-Organising Maps读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0149645<br><br> <br><br>
古董
发表于 2025-3-21 22:02:21
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树木心
发表于 2025-3-22 01:19:59
https://doi.org/10.1007/978-1-4471-4048-1mize the differential entropies of the kernel outputs and, at the same time, to minimize the mutual information between these outputs. The learning scheme is based on . learning supplemented with a cooperative/competitive stage to achieve topographically-organized maps. As a potential application, we consider density estimation.
sphincter
发表于 2025-3-22 05:44:45
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Intellectual
发表于 2025-3-22 09:19:20
Iva Bojic,Tomislav Lipic,Vedran Podobnike, we suggest a new version of SOM, using the supervised learning approach. We compare the supervised version and the unsupervised version of SOM-SD on a benchmark problem involving visual patterns. As may be expected, the supervised version is able to solve the classification problem using very compact networks.
myalgia
发表于 2025-3-22 15:49:55
Lecture Notes in Computer Scienceto identify health inequality structure is critical. It is believed that health inequality analysis is a complex problem. Self- organisation mapping is therefore employed in this paper to analyse health inequalities based on a data set provided by the Centre for Disease Control and Prevention, USA (CDC).
Cocker
发表于 2025-3-22 17:53:38
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联邦
发表于 2025-3-23 00:56:49
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帽子
发表于 2025-3-23 03:02:20
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痛苦一生
发表于 2025-3-23 09:30:12
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