笔记
发表于 2025-3-21 16:16:31
书目名称Artificial Neural Networks影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0162623<br><br> <br><br>书目名称Artificial Neural Networks影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0162623<br><br> <br><br>书目名称Artificial Neural Networks网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0162623<br><br> <br><br>书目名称Artificial Neural Networks网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0162623<br><br> <br><br>书目名称Artificial Neural Networks被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0162623<br><br> <br><br>书目名称Artificial Neural Networks被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0162623<br><br> <br><br>书目名称Artificial Neural Networks年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0162623<br><br> <br><br>书目名称Artificial Neural Networks年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0162623<br><br> <br><br>书目名称Artificial Neural Networks读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0162623<br><br> <br><br>书目名称Artificial Neural Networks读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0162623<br><br> <br><br>
Substance-Abuse
发表于 2025-3-21 21:50:18
https://doi.org/10.1007/978-3-030-59793-1is to propose a new type of NN capable of quick minimization of quadratic forms. Since the fast optimization of quadratic forms is very much required in communication theory, one of the most promising applications of the new algorithm would be the optimal detection procedure of Gaussian and linearly distorted channels.
种植,培养
发表于 2025-3-22 02:24:36
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Foreshadow
发表于 2025-3-22 07:16:46
Neural networks with hysteresis type of nonlinearity exhibit global optimization property,is to propose a new type of NN capable of quick minimization of quadratic forms. Since the fast optimization of quadratic forms is very much required in communication theory, one of the most promising applications of the new algorithm would be the optimal detection procedure of Gaussian and linearly distorted channels.
震惊
发表于 2025-3-22 11:27:56
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加入
发表于 2025-3-22 14:50:56
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Pert敏捷
发表于 2025-3-22 18:22:12
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inundate
发表于 2025-3-22 21:19:04
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多节
发表于 2025-3-23 03:27:45
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TEM
发表于 2025-3-23 07:37:47
Always trying to write an equation for the brain,logical and logical calculus, a more general concurrent computation is permited. In this way, classical connectionisme (with the pass of numerical values) and symbolic computation (with the pass of messages and instructions) are integrated, and we can focus on the study of organizational principles more genuine of the neural tissue.