| 书目名称 | Computational Methods for Application in Industry 4.0 |
| 编辑 | Nikolaos E. Karkalos,Angelos P. Markopoulos,J. Pau |
| 视频video | |
| 概述 | Presents key elements to the Industry 4.0 concept.Introduces methods not well known but with high potential.Compares different methods highlighting their capabilities and limitations |
| 丛书名称 | SpringerBriefs in Applied Sciences and Technology |
| 图书封面 |  |
| 描述 | .This book presents computational and statistical methods used by intelligent systems within the concept of Industry 4.0. The methods include among others evolution-based and swarm intelligence-based methods. Each method is explained in its fundamental aspects, while some notable bibliography is provided for further reading. This book describes each methods‘ principles and compares them. It is intended for researchers who are new in computational and statistical methods but also to experienced users.. |
| 出版日期 | Book 2019 |
| 关键词 | Optimization Methods; Evolutionary Algorithmas; Swarm Intelligence; Simulated Annealing; Statistical Met |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-92393-2 |
| isbn_softcover | 978-3-319-92392-5 |
| isbn_ebook | 978-3-319-92393-2Series ISSN 2191-530X Series E-ISSN 2191-5318 |
| issn_series | 2191-530X |
| copyright | The Author(s) 2019 |
发表于 2025-3-21 16:52:20
