| 书目名称 | Soft Modeling in Industrial Manufacturing |
| 编辑 | Przemyslaw Grzegorzewski,Andrzej Kochanski,Janusz |
| 视频video | |
| 概述 | Discusses the problems of industrial data and it overall complexity, as well as methods of dealing with preparing this type of data for reasoning in the engineering practice.Presents a wide spectrum o |
| 丛书名称 | Studies in Systems, Decision and Control |
| 图书封面 |  |
| 描述 | This book discusses the problems of complexity in industrial data, including the problems of data sources, causes and types of data uncertainty, and methods of data preparation for further reasoning in engineering practice. Each data source has its own specificity, and a characteristic property of industrial data is its high degree of uncertainty. The book also explores a wide spectrum of soft modeling methods with illustrations pertaining to specific cases from diverse industrial processes. In soft modeling the physical nature of phenomena may not be known and may not be taken into consideration. Soft models usually employ simplified mathematical equations derived directly from the data obtained as observations or measurements of the given system. Although soft models may not explain the nature of the phenomenon or system under study, they usually point to its significant features or properties. |
| 出版日期 | Book 2019 |
| 关键词 | Soft Modeling; Data Science; Industrial Manufacturing; Data Mining; Qualitc control |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-030-03201-2 |
| isbn_ebook | 978-3-030-03201-2Series ISSN 2198-4182 Series E-ISSN 2198-4190 |
| issn_series | 2198-4182 |
| copyright | Springer Nature Switzerland AG 2019 |
发表于 2025-3-21 16:23:50
