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Exploratory analysis of met...

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

Aldrich, C. (Chris)

Elsevier 2002

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

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monografia Rebiun02762263 https://catalogo.rebiun.org/rebiun/record/Rebiun02762263 m d |acr nuu---uuuuu 070802s2002 ne a sb 001 0 eng d 9780444503121 0444503129 UR0254072 UPNA0415129 OPELS. OPELS. BUS 669/.07/2 22 Aldrich, C. Chris) Exploratory analysis of metallurgical process data with neural networks and related methods Recurso electrónico] C. Aldrich 1st ed Servicio en línea Amsterdam Boston Elsevier 2002 Amsterdam Boston Amsterdam Boston Elsevier xvi, 370 p. ill. 25 cm + 1 CD-ROM (4 3/4 in.) xvi, 370 p. Process metallurgy 12 Libros electrónicos descargables 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.

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 Metalurgia Aldrich, C. Chris) ScienceDirect e-Books (Servicio en línea)

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monografia Rebiun02762263 https://catalogo.rebiun.org/rebiun/record/Rebiun02762263 m d |acr nuu---uuuuu 070802s2002 ne a sb 001 0 eng d 9780444503121 0444503129 UR0254072 UPNA0415129 OPELS. OPELS. BUS 669/.07/2 22 Aldrich, C. Chris) Exploratory analysis of metallurgical process data with neural networks and related methods Recurso electrónico] C. Aldrich 1st ed Servicio en línea Amsterdam Boston Elsevier 2002 Amsterdam Boston Amsterdam Boston Elsevier xvi, 370 p. ill. 25 cm + 1 CD-ROM (4 3/4 in.) xvi, 370 p. Process metallurgy 12 Libros electrónicos descargables 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.

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 Metalurgia Aldrich, C. Chris) ScienceDirect e-Books (Servicio en línea)