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Exploratory analysis of metallurgica...
~
Aldrich, C.
Exploratory analysis of metallurgical process data with neural networks and related methods
紀錄類型:
書目-電子資源 : 單行本
正題名/作者:
Exploratory analysis of metallurgical process data with neural networks and related methods/ C. Aldrich.
作者:
Aldrich, C.
其他作者:
Aldrich, C.
出版者:
Amsterdam ;Elsevier, : 2002.,
面頁冊數:
xvi, 370 p. :ill. ; : 25 cm. +; 1 CD-ROM (4 3/4 in.) +
叢書名:
Process metallurgy ;
標題:
Metallurgical research. -
電子資源:
An electronic book accessible through the World Wide Web; click for information
ISBN:
9780444503121
Exploratory analysis of metallurgical process data with neural networks and related methods
Aldrich, C.
Exploratory analysis of metallurgical process data with neural networks and related methods
[electronic resource] /C. Aldrich. - 1st ed. - Amsterdam ;Elsevier,2002. - xvi, 370 p. :ill. ;25 cm. +1 CD-ROM (4 3/4 in.) - Process metallurgy ;12.
Includes bibliographical references (p. 333-365) and index.
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.<P> 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.
Electronic reproduction.
Amsterdam :
Elsevier Science & Technology,
2007.
Mode of access: World Wide Web.
ISBN: 9780444503121
Source: 121046:128698Elsevier Science & Technologyhttp://www.sciencedirect.comSubjects--Topical Terms:
291515
Metallurgical research.
Index Terms--Genre/Form:
96803
Electronic books.
LC Class. No.: TN673 / .A43 2002eb
Dewey Class. No.: 669/.07/2
Exploratory analysis of metallurgical process data with neural networks and related methods
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