Editors:
- 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 of soft modeling methods, with illustrations pertaining to specific cases, coming from diverse kinds of industrial processes
- Includes recent research in soft modeling in industrial manufacturing
- Offers a variety of applications and diverse methodologies relating to with a wide range of soft modeling methods
- Provides an analysis of a specific practical problem in each chapter, in addition to a detailed discussion of the proposed modeling method
Part of the book series: Studies in Systems, Decision and Control (SSDC, volume 183)
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Table of contents (10 chapters)
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Front Matter
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Applications
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Front Matter
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About this book
Editors and Affiliations
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Faculty of Mathematics and Information Science, Warsaw University of Technology, Warsaw, Poland
Przemyslaw Grzegorzewski
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Faculty of Production Engineering, Institute of Manufacturing Technologies, Warsaw University of Technology, Warsaw, Poland
Andrzej Kochanski
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Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland
Janusz Kacprzyk
Bibliographic Information
Book Title: Soft Modeling in Industrial Manufacturing
Editors: Przemyslaw Grzegorzewski, Andrzej Kochanski, Janusz Kacprzyk
Series Title: Studies in Systems, Decision and Control
DOI: https://doi.org/10.1007/978-3-030-03201-2
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Hardcover ISBN: 978-3-030-03200-5Published: 31 January 2019
eBook ISBN: 978-3-030-03201-2Published: 11 December 2018
Series ISSN: 2198-4182
Series E-ISSN: 2198-4190
Edition Number: 1
Number of Pages: X, 196
Number of Illustrations: 57 b/w illustrations, 33 illustrations in colour
Topics: Computational Intelligence, Engineering Mathematics, Industrial and Production Engineering