推翻
发表于 2025-3-21 19:59:00
书目名称Advances in Neural Networks - ISNN 2007影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0149155<br><br> <br><br>书目名称Advances in Neural Networks - ISNN 2007影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0149155<br><br> <br><br>书目名称Advances in Neural Networks - ISNN 2007网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0149155<br><br> <br><br>书目名称Advances in Neural Networks - ISNN 2007网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0149155<br><br> <br><br>书目名称Advances in Neural Networks - ISNN 2007被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0149155<br><br> <br><br>书目名称Advances in Neural Networks - ISNN 2007被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0149155<br><br> <br><br>书目名称Advances in Neural Networks - ISNN 2007年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0149155<br><br> <br><br>书目名称Advances in Neural Networks - ISNN 2007年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0149155<br><br> <br><br>书目名称Advances in Neural Networks - ISNN 2007读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0149155<br><br> <br><br>书目名称Advances in Neural Networks - ISNN 2007读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0149155<br><br> <br><br>
GAVEL
发表于 2025-3-21 23:20:27
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Spirometry
发表于 2025-3-22 01:37:53
https://doi.org/10.1007/978-3-030-82461-7ure. The fuzzy-neural networks are utilized to approximate the virtual controllers, and by using backstepping technique, the direct adaptive FNN control scheme is developed. The proposed control method guarantees the closed-loop signals to be semiglobally uniformly ultimately bounded.
tenuous
发表于 2025-3-22 07:16:33
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PET-scan
发表于 2025-3-22 11:39:08
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outskirts
发表于 2025-3-22 15:49:38
https://doi.org/10.1007/978-3-540-72383-7Chaos; algorithm; algorithms; communication; data mining; fuzzy; fuzzy system; fuzzy systems; learning; model
STALE
发表于 2025-3-22 20:58:32
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Priapism
发表于 2025-3-22 21:14:41
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/a/image/149155.jpg
ETHER
发表于 2025-3-23 03:56:06
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容易生皱纹
发表于 2025-3-23 06:46:19
https://doi.org/10.1007/978-3-030-82461-7tructed to control the speed of ultrasonic motors. A dynamic algorithm with adaptive learning rate is used to train FNNC online. The global convergence of the FNNC systems could be guaranteed by adjusting the adaptive learning rate. The validity of the proposed scheme is examined by simulated experi