航天飞机
发表于 2025-3-21 19:11:59
书目名称Artificial Intelligence and Soft Computing — ICAISC 2004影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0162317<br><br> <br><br>书目名称Artificial Intelligence and Soft Computing — ICAISC 2004影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0162317<br><br> <br><br>书目名称Artificial Intelligence and Soft Computing — ICAISC 2004网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0162317<br><br> <br><br>书目名称Artificial Intelligence and Soft Computing — ICAISC 2004网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0162317<br><br> <br><br>书目名称Artificial Intelligence and Soft Computing — ICAISC 2004被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0162317<br><br> <br><br>书目名称Artificial Intelligence and Soft Computing — ICAISC 2004被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0162317<br><br> <br><br>书目名称Artificial Intelligence and Soft Computing — ICAISC 2004年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0162317<br><br> <br><br>书目名称Artificial Intelligence and Soft Computing — ICAISC 2004年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0162317<br><br> <br><br>书目名称Artificial Intelligence and Soft Computing — ICAISC 2004读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0162317<br><br> <br><br>书目名称Artificial Intelligence and Soft Computing — ICAISC 2004读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0162317<br><br> <br><br>
exorbitant
发表于 2025-3-21 22:47:12
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DIS
发表于 2025-3-22 03:37:17
Ross M. Campbell,Gary D. Monheitement under uncertainty, systems with uncertain and random parameters, systems with distributed knowledge, pattern recognition and selected practical problems. The presentation is based on the author’s book . (Springer, 2004).
Petechiae
发表于 2025-3-22 06:47:35
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ethnology
发表于 2025-3-22 09:39:42
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无可争辩
发表于 2025-3-22 14:02:43
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transient-pain
发表于 2025-3-22 18:37:24
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Employee
发表于 2025-3-23 01:12:37
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Militia
发表于 2025-3-23 04:28:46
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的染料
发表于 2025-3-23 09:25:51
Dynamic High Order Neural Networks: Application for Fault DiagnosisIf a linear activation function is used, the universal approximation capabilities of these networks are easy to prove. To show the applicability of such networks, the modelling and fault detection results for the two-tank-system are presented in the last part.