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Exploratory Analysis of Metallurgical Process Data with Neural Networks and Related Methods (Process metallurgy) (Hardcover)

by C. Aldrich (Author) "By the end of World War II several groups of scientists of the United States and England were working on what is now known as..." (more)

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Product details

Hardcover: 388 pages
Publisher: Elsevier Science Ltd; illustrated edition edition (19 April 2002)
Language English
ISBN-10: 0444503129
ISBN-13: 978-0444503121
Product Dimensions: 24.6 x 16.4 x 2.2 cm
Average Customer Review: No customer reviews yet. Be the first.
Amazon.co.uk Sales Rank: 3,115,291 in Books (See Bestsellers in Books)

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Product Description

Review
Henrik Saxen, Abo Akademi, Finland What our readers say about this title ...a welcome contribution to the field of exploratory data analysis. Henrik Saxen, Abo Akademi, Finland Derick Moolman, CSense Systems, European Office 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

Product Description
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.

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By the end of World War II several groups of scientists of the United States and England were working on what is now known as a computer. Read the first page

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Front Cover | Copyright | Table of Contents | Excerpt | Index

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