Industrial Applications of Soft Computing: Paper, Mineral and Metal Processing Industries

Author:   Kauko Leiviskä
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Edition:   2001 ed.
Volume:   71
ISBN:  

9783790813883


Pages:   227
Publication Date:   06 June 2001
Format:   Hardback
Availability:   In Print   Availability explained
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Industrial Applications of Soft Computing: Paper, Mineral and Metal Processing Industries


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Overview

Applications of Soft Computing have recently increased and methodological development has been strong. The book is a collection of new interesting industrial applications introduced by several research groups and industrial partners. It describes the principles and results of industrial applications of Soft Computing methods and introduces new possibilities to gain technical and economic benefits by using this methodology. The book shows how fuzzy logic and neural networks have been used in the Finnish paper and metallurgical industries putting emphasis on processes, applications and technical and economic results.

Full Product Details

Author:   Kauko Leiviskä
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Physica-Verlag GmbH & Co
Edition:   2001 ed.
Volume:   71
Dimensions:   Width: 15.50cm , Height: 1.40cm , Length: 23.50cm
Weight:   1.150kg
ISBN:  

9783790813883


ISBN 10:   3790813885
Pages:   227
Publication Date:   06 June 2001
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

I: Introduction.- Basics of Soft Computing Methods.- Soft Computing Applications in Mineral and Metal Industries.- Soft Computing Applications in Pulp and Paper Industries.- Enhancing Maintainability of Knowledge-Based Soft Computing Systems.- II: Mineral and Metal Industries.- Fuzzy Logic Control of a Sintering Plant.- Pattern Recognition for Blast Furnace Temperature Classification.- Temperature Control of a Smelting Plant.- Adaptive Fuzzy Control of a Rotary Dryer.- Soft Computing at a Flotation Plant.- III: Paper Industries.- Intelligent Modelling of Continuous Pulp Cooking.- Fuzzy Quality Control of a TMP Plant.- Intelligent Supervisory Control of an Industrial Rotary Kiln.- Fuzzy Logic and SPC.- Estimation of Target Values for Grade Changes in Paper Machine.- List of Contributors.

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