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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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發(fā)表于 2025-3-21 19:47:03 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Hybrid Modeling and Optimization of Manufacturing
副標(biāo)題Combining Artificial
編輯Ramón Quiza,Omar López-Armas,J. Paulo Davim
視頻videohttp://file.papertrans.cn/431/430146/430146.mp4
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
叢書名稱SpringerBriefs in Applied Sciences and Technology
圖書封面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
關(guān)鍵詞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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發(fā)表于 2025-3-21 20:41:26 | 只看該作者
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
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發(fā)表于 2025-3-22 02:07:45 | 只看該作者
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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發(fā)表于 2025-3-22 07:35:35 | 只看該作者
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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