ACID
发表于 2025-3-21 17:27:24
书目名称Applications of Artificial Intelligence in Engineering影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0159299<br><br> <br><br>书目名称Applications of Artificial Intelligence in Engineering影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0159299<br><br> <br><br>书目名称Applications of Artificial Intelligence in Engineering网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0159299<br><br> <br><br>书目名称Applications of Artificial Intelligence in Engineering网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0159299<br><br> <br><br>书目名称Applications of Artificial Intelligence in Engineering被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0159299<br><br> <br><br>书目名称Applications of Artificial Intelligence in Engineering被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0159299<br><br> <br><br>书目名称Applications of Artificial Intelligence in Engineering年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0159299<br><br> <br><br>书目名称Applications of Artificial Intelligence in Engineering年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0159299<br><br> <br><br>书目名称Applications of Artificial Intelligence in Engineering读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0159299<br><br> <br><br>书目名称Applications of Artificial Intelligence in Engineering读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0159299<br><br> <br><br>
光亮
发表于 2025-3-21 21:27:27
Schule aus Sicht verschiedener Akteurea recently developed metaheuristic multi-verse optimizer (MVO) is proposed. The proposed method is applied to 10 well-known benchmark nonlinear regression problems. A comparative study has been conducted with particle swarm optimizer (PSO). The experimental results demonstrate that the proposed method statistically outperforms the PSO algorithm.
Archipelago
发表于 2025-3-22 03:37:29
Nonlinear Regression Analysis Using Multi-verse Optimizer,a recently developed metaheuristic multi-verse optimizer (MVO) is proposed. The proposed method is applied to 10 well-known benchmark nonlinear regression problems. A comparative study has been conducted with particle swarm optimizer (PSO). The experimental results demonstrate that the proposed method statistically outperforms the PSO algorithm.
mediocrity
发表于 2025-3-22 06:06:45
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exigent
发表于 2025-3-22 12:42:17
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漂泊
发表于 2025-3-22 14:54:32
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libertine
发表于 2025-3-22 18:41:15
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Tailor
发表于 2025-3-22 22:10:39
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GENRE
发表于 2025-3-23 01:43:22
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无法解释
发表于 2025-3-23 07:42:16
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