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Titlebook: Hybrid Modeling and Optimization of Manufacturing; Combining Artificial Ramón Quiza,Omar López-Armas,J. Paulo Davim Book 2012 The Author(s)

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发表于 2025-3-21 19:47:03 | 显示全部楼层 |阅读模式
书目名称Hybrid Modeling and Optimization of Manufacturing
副标题Combining Artificial
编辑Ramón Quiza,Omar López-Armas,J. Paulo Davim
视频video
概述Explains possible combinations of AI and FEM to be used in modeling and optimization of manufacturing processes.Describes comprehensively the used techniques, allowing their use by researchers and eng
丛书名称SpringerBriefs in Applied Sciences and Technology
图书封面Titlebook: Hybrid Modeling and Optimization of Manufacturing; Combining Artificial Ramón Quiza,Omar López-Armas,J. Paulo Davim Book 2012 The Author(s)
描述.Artificial intelligence (AI) techniques and the finite element method (FEM) are both powerful computing tools, which are extensively used for modeling and optimizing manufacturing processes. The combination of these tools has resulted in a new flexible and robust approach as several recent studies have shown. This book aims to review the work already done in this field as well as to expose the new possibilities and foreseen trends. The book is expected to be useful for postgraduate students and researchers, working in the area of modeling and optimization of manufacturing processes..
出版日期Book 2012
关键词AI tools optimization; Bayesian probability; Evolutionary algorithms; FEM modeling; Hybrid modeling; Manu
版次1
doihttps://doi.org/10.1007/978-3-642-28085-6
isbn_softcover978-3-642-28084-9
isbn_ebook978-3-642-28085-6Series ISSN 2191-530X Series E-ISSN 2191-5318
issn_series 2191-530X
copyrightThe Author(s) 2012
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发表于 2025-3-21 20:41:26 | 显示全部楼层
2191-530X ose the new possibilities and foreseen trends. The book is expected to be useful for postgraduate students and researchers, working in the area of modeling and optimization of manufacturing processes..978-3-642-28084-9978-3-642-28085-6Series ISSN 2191-530X Series E-ISSN 2191-5318
发表于 2025-3-22 02:07:45 | 显示全部楼层
Introduction,highlighting the convenience of combining both methods, increasing the robustness and flexibility. Furthermore, the different approaches for combining artificial intelligence and finite element method in modeling and optimization of manufactured processes are outlined and preliminarily evaluated.
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Case of Study,) through neural networks models. Finally, a multi-objective optimization process is defined and executed in order to obtain the most convenient factors for this specific process, on different workshop conditions.
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Ramón Quiza,Omar López-Armas,J. Paulo DavimExplains possible combinations of AI and FEM to be used in modeling and optimization of manufacturing processes.Describes comprehensively the used techniques, allowing their use by researchers and eng
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SpringerBriefs in Applied Sciences and Technologyhttp://image.papertrans.cn/h/image/430146.jpg
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