Industrual Applications of Soft Computing : Paper, Mineral and Meral Processing Industries
Author(s)
Bibliographic Information
Industrual Applications of Soft Computing : Paper, Mineral and Meral Processing Industries
(Studies in fuzziness and soft computing, v. 71)
Physica-Verlag, c2001
Available at 4 libraries
  Aomori
  Iwate
  Miyagi
  Akita
  Yamagata
  Fukushima
  Ibaraki
  Tochigi
  Gunma
  Saitama
  Chiba
  Tokyo
  Kanagawa
  Niigata
  Toyama
  Ishikawa
  Fukui
  Yamanashi
  Nagano
  Gifu
  Shizuoka
  Aichi
  Mie
  Shiga
  Kyoto
  Osaka
  Hyogo
  Nara
  Wakayama
  Tottori
  Shimane
  Okayama
  Hiroshima
  Yamaguchi
  Tokushima
  Kagawa
  Ehime
  Kochi
  Fukuoka
  Saga
  Nagasaki
  Kumamoto
  Oita
  Miyazaki
  Kagoshima
  Okinawa
  Korea
  China
  Thailand
  United Kingdom
  Germany
  Switzerland
  France
  Belgium
  Netherlands
  Sweden
  Norway
  United States of America
Note
Includes bibliographical references and index
Description and Table of Contents
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.
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.
by "Nielsen BookData"