Machine Learning for Cyber Physical Systems
简介：
这个开放获取程序为网络物理系统 (CPS)，经验和愿景提供了新的机器学习方法。网络物理系统的特征在于其适应和学习的能力: 它们分析其环境，并根据观察结果学习模式，相关性和预测模型。典型应用包括状态监测、预测性维护、图像处理和诊断。机器学习是这些发展的关键技术。
英文简介：
This Open Access proceedings presents new approaches to Machine Learning for Cyber Physical Systems (CPS), experiences and visions.
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.
- 书名
- Machine Learning for Cyber Physical Systems
- 译名
- 网络物理系统的机器学习
- 语言
- 英语
- 年份
- 2021
- 页数
- 129页
- 大小
- 5.74 MB
- 标签
- 机器学习
- 下载
Machine Learning for Cyber Physical Systems.pdf- 密码
- 65536
最后更新：2025-04-12 23:54:39
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