BRISK
发表于 2025-3-21 16:47:24
书目名称Advances in Neural Networks-- ISNN 2010影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0149146<br><br> <br><br>书目名称Advances in Neural Networks-- ISNN 2010影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0149146<br><br> <br><br>书目名称Advances in Neural Networks-- ISNN 2010网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0149146<br><br> <br><br>书目名称Advances in Neural Networks-- ISNN 2010网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0149146<br><br> <br><br>书目名称Advances in Neural Networks-- ISNN 2010被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0149146<br><br> <br><br>书目名称Advances in Neural Networks-- ISNN 2010被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0149146<br><br> <br><br>书目名称Advances in Neural Networks-- ISNN 2010年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0149146<br><br> <br><br>书目名称Advances in Neural Networks-- ISNN 2010年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0149146<br><br> <br><br>书目名称Advances in Neural Networks-- ISNN 2010读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0149146<br><br> <br><br>书目名称Advances in Neural Networks-- ISNN 2010读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0149146<br><br> <br><br>
Vasoconstrictor
发表于 2025-3-21 22:45:36
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PATHY
发表于 2025-3-22 00:55:33
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温室
发表于 2025-3-22 07:40:59
Communism and Nationalism in Cyprus,the current perception threshold requires the prediction to be qualified with confidence. Using confidence support vector machine, the current perception threshold measurement via single channel electroencephalogram is confident and credible. Experimental results demonstrate the proposed algorithm is effective.
Inertia
发表于 2025-3-22 11:45:40
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天然热喷泉
发表于 2025-3-22 14:02:05
Modern and Contemporary Poetry and PoeticsElectroantennogram and spiking trains were obtained from honeybees’ antennae for detection using an apparatus described in this paper. Different odor stimuli were applied on the antennae and got different EAG responses. The spikes of neurons were observed with this system too.
自负的人
发表于 2025-3-22 18:32:54
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有杂色
发表于 2025-3-23 00:40:18
https://doi.org/10.1007/978-1-4757-0492-1tigates the effect of noise on speeding up neural computation. We consider a computational task in which a neuronal network tracks a time-varying stimulus. Two network models with varying recurrent structures are explored, namely, neurons have weak sparse connections and have strong balanced interac
痴呆
发表于 2025-3-23 02:17:05
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ectropion
发表于 2025-3-23 06:49:49
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