书目名称 | Machine Learning for Cyber Physical Systems |
副标题 | Selected papers from |
编辑 | Jürgen Beyerer,Alexander Maier,Oliver Niggemann |
视频video | http://file.papertrans.cn/621/620598/620598.mp4 |
概述 | Includes the full proceedings of the 2017 ML4CPS – Machine Learning for Cyber Physical Systems Conference.Presents recent and new advances in automated machine learning methods.Provides an accessible |
丛书名称 | Technologien für die intelligente Automation |
图书封面 |  |
描述 | .The work presents new approaches to Machine Learning for Cyber Physical Systems, experiences and visions. It contains some selected papers from the international Conference ML4CPS – Machine Learning for Cyber Physical Systems, which was held in Lemgo, October 25th-26th, 2017. .Cyber Physical Systems are characterized by their ability to adapt and to learn: They analyze their environment and, based on observations, they learn patterns, correlations and predictive models. Typical applications are condition monitoring, predictive maintenance, image processing and diagnosis. Machine Learning is the key technology for these developments.. |
出版日期 | Conference proceedings 2020 |
关键词 | Machine Learning; Artificial Intelligence; Cognitive Robotics; Internet of Things; Computational intelli |
版次 | 1 |
doi | https://doi.org/10.1007/978-3-662-59084-3 |
isbn_softcover | 978-3-662-59083-6 |
isbn_ebook | 978-3-662-59084-3Series ISSN 2522-8579 Series E-ISSN 2522-8587 |
issn_series | 2522-8579 |
copyright | Springer-Verlag GmbH Germany, part of Springer Nature 2020 |