| 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video | http://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 |  |
| 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 |
| doi | https://doi.org/10.1007/978-3-642-28085-6 |
| isbn_softcover | 978-3-642-28084-9 |
| isbn_ebook | 978-3-642-28085-6Series ISSN 2191-530X Series E-ISSN 2191-5318 |
| issn_series | 2191-530X |
| copyright | The Author(s) 2012 |
|Archiver|手機(jī)版|小黑屋|
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