Industrial Applications of Soft Computing

Subtitle:
Paper, Mineral and Metal Processing Industries
Author:
K. Leiviska
Format:
Hardcover

Now:R1,534.95
eBucks:eB15350

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Industrial Applications of Soft Computing

Short description

This text 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 examples of the application of fuzzy logic and neural networks.

Long description

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.

Product details

Editor:
Kauko Leiviskd
Contributor:
Kauko Leiviska
Publisher:
Physica-Verlag HD
ISBN:
9783790813883
Publication date:
June 2001
Length:
234mm
Width:
156mm
Thickness:
16mm
Weight:
517g
Pages:
235
Illustrations:
Illustrated
Readership:
Professional & scholarly

Table of contents

  • Introduction to Soft Computing Methods
  • Applications in Mineral and Metal Industries
  • Applications in Paper Industries
  • Enhancing Maintainability of Knowledge
  • Based Soft Computing Systems
  • Fuzzy Logic Control of the Sintering Plant
  • Pattern Recognition for Blast Furnace Wall Temperatures
  • Temperature Control of the Smelt Shop
  • Adaptive Fuzzy Control of a Rotary Dryer
  • Soft Computing at a Flotation Plant
  • Intelligent Modelling of Continuous Pulp Cooking
  • Fuzzy Quality Control of a TMP Plant
  • Industrial Supervisory Control of an Industrial Rotary Kiln
  • Fuzzy Estimation of Target Values for Grade Changes in Paper Machine

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