This volume is concerned with the analysis and interpretation of multivariate measurements commonly found in the mineral and metallurgical industries, with the emphasis on the use of neural networks.
The book is primarily aimed at the practicing metallurgist or process engineer, and a considerable part of it is of necessity devoted to the basic theory which is introduced as briefly as possible within the large scope of the field. Also, although the book focuses on neural networks, they cannot be divorced from their statistical framework and this is discussed in length. The book is therefore a blend of basic theory and some of the most recent advances in the practical application of neural networks.
- No. of pages:
- © Elsevier Science 2002
- 19th April 2002
- Elsevier Science
- eBook ISBN:
- Hardcover ISBN:
@from:Henrik Saxen, Åbo Akademi, Finland
@qu:What our readers say about this title ...a welcome contribution to the field of exploratory data analysis.
Henrik Saxen, Åbo Akademi, Finland @source: @from:Derick Moolman, CSense Systems, European Office @qu:What our readers say about this title ...is a must for the process engineer with a role and interest in process troubleshooting. ...The author is clearly a world-class expert in the field. ...I strongly recommend this book for engineering students, process engineers, production and quality managers, consulting and technology companies in the process industry (not only in metallurgy). ...Our company, that provides practical troubleshooting software products and services to end-users in the process industry, makes use of this book, because it is the best for our requirements.
Derick Moolman, CSense Systems, European Office @source:
Department of Chemical Engineering, Faculty of Engineering, University of Stellenbosch, Banhoek Road, Stellenbosch 7600, South Africa