Odious 发表于 2025-3-21 19:40:23

书目名称Uncertainty Modeling for Engineering Applications影响因子(影响力)<br>        http://impactfactor.cn/if/?ISSN=BK0941096<br><br>        <br><br>书目名称Uncertainty Modeling for Engineering Applications影响因子(影响力)学科排名<br>        http://impactfactor.cn/ifr/?ISSN=BK0941096<br><br>        <br><br>书目名称Uncertainty Modeling for Engineering Applications网络公开度<br>        http://impactfactor.cn/at/?ISSN=BK0941096<br><br>        <br><br>书目名称Uncertainty Modeling for Engineering Applications网络公开度学科排名<br>        http://impactfactor.cn/atr/?ISSN=BK0941096<br><br>        <br><br>书目名称Uncertainty Modeling for Engineering Applications被引频次<br>        http://impactfactor.cn/tc/?ISSN=BK0941096<br><br>        <br><br>书目名称Uncertainty Modeling for Engineering Applications被引频次学科排名<br>        http://impactfactor.cn/tcr/?ISSN=BK0941096<br><br>        <br><br>书目名称Uncertainty Modeling for Engineering Applications年度引用<br>        http://impactfactor.cn/ii/?ISSN=BK0941096<br><br>        <br><br>书目名称Uncertainty Modeling for Engineering Applications年度引用学科排名<br>        http://impactfactor.cn/iir/?ISSN=BK0941096<br><br>        <br><br>书目名称Uncertainty Modeling for Engineering Applications读者反馈<br>        http://impactfactor.cn/5y/?ISSN=BK0941096<br><br>        <br><br>书目名称Uncertainty Modeling for Engineering Applications读者反馈学科排名<br>        http://impactfactor.cn/5yr/?ISSN=BK0941096<br><br>        <br><br>

MULTI 发表于 2025-3-21 23:13:11

https://doi.org/10.1007/978-3-030-04870-9Uncertainty Quantification; Surrogate Models; Response Surfaces; Stochastic Models; Sensitivity Analysis

Grievance 发表于 2025-3-22 02:55:03

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HEW 发表于 2025-3-22 06:02:22

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spinal-stenosis 发表于 2025-3-22 12:42:09

Flavio CanaveroShares cutting edge uncertainty quantification ideas with a wide audience.Draws together the work of engineers, mathematicians, physicists, and statisticians.Provides a view of a traditionally mathema

aviator 发表于 2025-3-22 16:43:05

A New Approach for State Estimation, the state: moment matching (MM), collocation (COL) and variational (VAR). We show that the method is effective to calculate by using two significant examples: a classical discrete linear system containing difficulties and the Influenza in a boarding school. In all these examples, the proposed appro

震惊 发表于 2025-3-22 17:37:54

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可能性 发表于 2025-3-22 21:14:59

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性行为放纵者 发表于 2025-3-23 05:05:17

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轻率的你 发表于 2025-3-23 09:25:11

Hybrid Possibilistic-Probabilistic Approach to Uncertainty Quantification in Electromagnetic Compatilistic nature of the two sets of involved parameters. Two methods to aggregate the obtained random-fuzzy sets are presented and compared versus the results obtained by running fully-probabilistic Monte Carlo (MC) simulations, where all uncertain parameters were assigned known probability distributi
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查看完整版本: Titlebook: Uncertainty Modeling for Engineering Applications; Flavio Canavero Book 2019 Springer Nature Switzerland AG 2019 Uncertainty Quantificatio