Front cover image for Exploratory analysis of metallurgical process data with neural networks and related methods

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

C. Aldrich
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
eBook, English, 2002
Elsevier, Amsterdam, 2002
1 online resource (xvi, 370 pages) : illustrations
9780444503121, 9780080531465, 9781281019004, 0444503129, 0080531466, 1281019003
162130704
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 systemschapter
Case studies: Dynamic systems analysis and modelling
Embedding of multivariate dynamic process systems
From exploratory data analysis to decision support and process control