贫血
发表于 2025-3-21 19:43:06
书目名称Advances in Neural Networks - ISNN 2009影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0149158<br><br> <br><br>书目名称Advances in Neural Networks - ISNN 2009影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0149158<br><br> <br><br>书目名称Advances in Neural Networks - ISNN 2009网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0149158<br><br> <br><br>书目名称Advances in Neural Networks - ISNN 2009网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0149158<br><br> <br><br>书目名称Advances in Neural Networks - ISNN 2009被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0149158<br><br> <br><br>书目名称Advances in Neural Networks - ISNN 2009被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0149158<br><br> <br><br>书目名称Advances in Neural Networks - ISNN 2009年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0149158<br><br> <br><br>书目名称Advances in Neural Networks - ISNN 2009年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0149158<br><br> <br><br>书目名称Advances in Neural Networks - ISNN 2009读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0149158<br><br> <br><br>书目名称Advances in Neural Networks - ISNN 2009读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0149158<br><br> <br><br>
acclimate
发表于 2025-3-21 20:58:05
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Restenosis
发表于 2025-3-22 00:24:32
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GRATE
发表于 2025-3-22 05:37:57
https://doi.org/10.1007/978-3-642-01507-6algorithm; algorithms; artificial intelligence; classification; communication; fuzzy; fuzzy system; genetic
扩张
发表于 2025-3-22 11:58:37
978-3-642-01506-9Springer-Verlag Berlin Heidelberg 2009
Exposition
发表于 2025-3-22 13:20:52
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/a/image/149158.jpg
TRACE
发表于 2025-3-22 20:47:59
Nursing Times Open Learning Textsl network is developed to retrieve open boundary values. All training data are calculated by numerical tidal model, so the tidal physics are not disturbed. The basic idea is to find out the relationship between open boundary values and the values of interior tidal stations. Case testes are carried o
interpose
发表于 2025-3-23 00:24:31
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Corporeal
发表于 2025-3-23 04:53:32
Rita Bell,Kath Johnson,Heather Scottd to obtain the EEG’s rhythms based on the multi-resolution decomposition of wavelet transformation. Four specified rhythms can be decomposed from EEG signal in terms of wavelet packet analysis. A novel method for time-varying brain electrical activity mapping (BEAM) is also proposed using the time-
pineal-gland
发表于 2025-3-23 08:47:03
https://doi.org/10.1007/978-1-349-13906-4puts based on non-linear functional composition. They have the advantages of self-learning, self-organizing, and self-adapting. It is practical to use ANN technology to carry out hydrologic calculations. To this end, this note has fundamentally set up a system of calculation and analysis based on AN