Für diesen Artikel ist leider kein Bild verfügbar.

Exploratory Analysis of Metallurgical Process Data with Neural Networks and Related Methods

(Autor)

Buch | Hardcover
386 Seiten
2002
Elsevier Science Ltd (Verlag)
978-0-444-50312-1 (ISBN)
159,60 inkl. MwSt
  • Titel ist leider vergriffen;
    keine Neuauflage
  • Artikel merken
Deals with analysis and interpretation of multivariate measurements commonly found in the mineral and metallurgical industries, with the emphasis on the use of neural networks. This book is aimed at the practicing metallurgist or process engineer. It blends the basic theory and some of the advances in the practical application of neural networks.
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.

Introduction to neural networks; Training of neural networks; Latent variable methods; Regression models; Topographical mappings with neural networks; Cluster analysis; Extraction of rules from data with neural networks; Introduction to the modelling of dynamic systems; Case studies: dynamic systems analysis and modelling; Embedding of multivariate dynamic process systems; From exploratory data analysis to decision support and process control. Appendix: data files.

Erscheint lt. Verlag 19.4.2002
Reihe/Serie Process metallurgy ; v. 12
Zusatzinfo references, index
Verlagsort Oxford
Sprache englisch
Maße 165 x 241 mm
Gewicht 794 g
Themenwelt Informatik Datenbanken Data Warehouse / Data Mining
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Technik
ISBN-10 0-444-50312-9 / 0444503129
ISBN-13 978-0-444-50312-1 / 9780444503121
Zustand Neuware
Haben Sie eine Frage zum Produkt?
Mehr entdecken
aus dem Bereich
Auswertung von Daten mit pandas, NumPy und IPython

von Wes McKinney

Buch | Softcover (2023)
O'Reilly (Verlag)
44,90
Datenanalyse für Künstliche Intelligenz

von Jürgen Cleve; Uwe Lämmel

Buch | Softcover (2024)
De Gruyter Oldenbourg (Verlag)
74,95