Soft Modeling in Industrial Manufacturing

Nonfiction, Computers, Advanced Computing, Artificial Intelligence, Science & Nature, Technology, Engineering, General Computing
Cover of the book Soft Modeling in Industrial Manufacturing by , Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9783030032012
Publisher: Springer International Publishing Publication: December 11, 2018
Imprint: Springer Language: English
Author:
ISBN: 9783030032012
Publisher: Springer International Publishing
Publication: December 11, 2018
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Springer International Publishing

Cover of the book The Pediatric Anterior Cruciate Ligament by
Cover of the book Green Inside Activism for Sustainable Development by
Cover of the book Artificial Intelligence and Robotics by
Cover of the book Artificial Intelligence and Natural Language by
Cover of the book Artificial General Intelligence by
Cover of the book Visualizing the Data City by
Cover of the book Global Leisure and the Struggle for a Better World by
Cover of the book Thermophilic Carboxydotrophs and their Applications in Biotechnology by
Cover of the book Demographic Analysis of Latin American Immigrants in Spain by
Cover of the book Biodiversity and Education for Sustainable Development by
Cover of the book Cosmology Beyond Einstein by
Cover of the book Progress in the Chemistry of Organic Natural Products 104 by
Cover of the book Vortices and Nanostructured Superconductors by
Cover of the book Constrained Control of Uncertain, Time-Varying, Discrete-Time Systems by
Cover of the book Modelling the Toxicity of Nanoparticles by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy