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Soft Modeling in Industrial Manufacturing

Soft Modeling in Industrial Manufacturing

Przemyslaw Grzegorzewski, Andrzej Kochanski, Janusz Kacprzyk
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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.

种类:
年:
2019
出版:
1st ed.
出版社:
Springer International Publishing
语言:
english
ISBN 10:
3030032019
ISBN 13:
9783030032012
系列:
Studies in Systems, Decision and Control 183
文件:
PDF, 7.87 MB
IPFS:
CID , CID Blake2b
english, 2019
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