Soft modeling in industrial manufacturing [electronic resource] / edited by Przemyslaw Grzegorzewski, Andrzej Kochanski, Janusz Kacprzyk.
- 其他作者：
- 其他題名：
- Studies in systems, decision and control ;
- 出版： Cham : Springer International Publishing :Imprint: Springer 2019.
- 叢書名： Studies in systems, decision and control,v.183
- 主題： Manufacturing processes--Mathematical models. , Computational Intelligence. , Engineering Mathematics. , Industrial and Production Engineering.
- ISBN： 9783030032012 (electronic bk.) 、 9783030032005 (paper)
- URL：
點擊此處查看電子書
電子書(校內)
- 一般註：Data and modeling in industrial manufacturing -- From data to reasoning -- Data preprocessing in industrial manufacturing -- Tool condition monitoring in metal cutting -- Assessment of selected tools used for knowledge extraction in industrial manufacturing -- Application of data mining tools in shrink sleeve labels converting process -- Study of thickness variability of the floorboard surface layer -- Applying statistical methods with imprecise data to quality control in cheese manufacturing -- Monitoring series of dependent observations using the sXWAM control chart for residuals -- Diagnosis of out-of-control signals in complex manufacturing processes. E1084學校採購電子書
-
讀者標籤：
- 系統號： 000274348 | 機讀編目格式
館藏資訊
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.
摘要註
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.
