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Exploratory analysis of metallurgical process data with neural networks and related methods /
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 p...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Amsterdam ; Boston :
Elsevier,
2002.
|
| Edición: | 1st ed. |
| Colección: | Process metallurgy ;
12. |
| Temas: | |
| Acceso en línea: | Texto completo Texto completo |
Tabla de Contenidos:
- 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.