Exploratory analysis of metallurgical process data with neural networks and related methods:

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 p...

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Bibliographic Details
Main Author: Aldrich, C. (Author)
Format: Electronic eBook
Language:English
Published: Amsterdam Boston Elsevier 2002
Edition:1st ed
Series:Process metallurgy 12
Subjects:
Online Access:FLA01
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Summary: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
Item Description:Includes bibliographical references (pages 333-365) and index
Physical Description:1 online resource (xvi, 370 pages) illustrations
ISBN:9780444503121
0444503129
9780080531465
0080531466
1281019003
9781281019004

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