Strategy 发表于 2025-3-21 16:22:08

书目名称Artificial Neural Networks for Intelligent Manufacturing影响因子(影响力)<br>        http://figure.impactfactor.cn/if/?ISSN=BK0162673<br><br>        <br><br>书目名称Artificial Neural Networks for Intelligent Manufacturing影响因子(影响力)学科排名<br>        http://figure.impactfactor.cn/ifr/?ISSN=BK0162673<br><br>        <br><br>书目名称Artificial Neural Networks for Intelligent Manufacturing网络公开度<br>        http://figure.impactfactor.cn/at/?ISSN=BK0162673<br><br>        <br><br>书目名称Artificial Neural Networks for Intelligent Manufacturing网络公开度学科排名<br>        http://figure.impactfactor.cn/atr/?ISSN=BK0162673<br><br>        <br><br>书目名称Artificial Neural Networks for Intelligent Manufacturing被引频次<br>        http://figure.impactfactor.cn/tc/?ISSN=BK0162673<br><br>        <br><br>书目名称Artificial Neural Networks for Intelligent Manufacturing被引频次学科排名<br>        http://figure.impactfactor.cn/tcr/?ISSN=BK0162673<br><br>        <br><br>书目名称Artificial Neural Networks for Intelligent Manufacturing年度引用<br>        http://figure.impactfactor.cn/ii/?ISSN=BK0162673<br><br>        <br><br>书目名称Artificial Neural Networks for Intelligent Manufacturing年度引用学科排名<br>        http://figure.impactfactor.cn/iir/?ISSN=BK0162673<br><br>        <br><br>书目名称Artificial Neural Networks for Intelligent Manufacturing读者反馈<br>        http://figure.impactfactor.cn/5y/?ISSN=BK0162673<br><br>        <br><br>书目名称Artificial Neural Networks for Intelligent Manufacturing读者反馈学科排名<br>        http://figure.impactfactor.cn/5yr/?ISSN=BK0162673<br><br>        <br><br>

cardiac-arrest 发表于 2025-3-21 20:39:39

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Jargon 发表于 2025-3-22 00:37:46

Hybrid intelligent systems: Tools for decision making in intelligent manufacturing

呼吸 发表于 2025-3-22 08:08:53

Artificial Neural Networks for Intelligent Manufacturing

adequate-intake 发表于 2025-3-22 12:20:26

Artificial Neural Networks for Intelligent Manufacturing978-94-011-0713-6

exigent 发表于 2025-3-22 14:19:51

Advances in Solid State Physicsesentations are derived and the performance under each is analyzed. The results indicate that input representation is particularly important in determining the neural network’s recognition capability and the amount of tolerable noise in parameter readings.

GEAR 发表于 2025-3-22 18:30:03

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–DOX 发表于 2025-3-22 21:44:57

Intelligent Manufactoring Serieshttp://image.papertrans.cn/b/image/162673.jpg

神圣不可 发表于 2025-3-23 05:08:09

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Exposure 发表于 2025-3-23 06:03:03

Die Beugung an periodischen Strukturen,The complex demands of many modern applications cry out for flexible, adaptable devices that can quickly react to changing circumstances as solutions rather than mechanical brute force. Artificial neural systems (ANS) promise this capability. It is the intent of this chapter to realize ways to evaluate this accomplishment and its performance.
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查看完整版本: Titlebook: Artificial Neural Networks for Intelligent Manufacturing; Cihan H. Dagli (Associate Professor) Book 1994 Springer Science+Business Media D