Exploratory Analysis of Metallurgical Process Data with Neural Networks and Related Methods
Elsevier, 2002. gada 19. apr. - 386 lappuses
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.
1.5. rezultāts no 22.
This has resulted in younger, less experienced plant operators sometimes having to cope with the unpredictable dynamics of nonlinear process systems.
... while the Siemens group also has research contracts with a number of other European mill operators, such as Thyssen and Krupp-Hoesch Stahl in Germany, ...
... of flotation plants, self-organizing neural networks are used to visualize plant conditions, and serve as a decision support system for plant operators.
Figure 2.6 illustrates these standard genetic operators on string coded individuals. Through parallel operation, several areas of the search space can be ...
... the standard operators, such as crossover and mutation, cannot be used ... evolutionary programming where the primary search operator is mutation ...
Lietotāju komentāri - Rakstīt atsauksmi
CHAPTER 3 LATENT VARIABLE METHODS
CHAPTER 4 REGRESSION MODELS
CHAPTER 5 TOPOGRAPHICAL MAPPINGS WITH NEURAL NETWORKS
CHAPTER 6 CLUSTER ANALYSIS
CHAPTER 7 EXTRACTION OF RULES FROM DATA WITH NEURAL NETWORKS
CHAPTER 8 INTRODUCTION TO THE MODELLING OF DYNAMIC SYSTEMSCHAPTER
DYNAMIC SYSTEMS ANALYSIS AND MODELLING
CHAPTER 10 EMBEDDING OF MULTIVARIATE DYNAMIC PROCESS SYSTEMS
CHAPTER 11 FROM EXPLORATORY DATA ANALYSIS TO DECISION SUPPORT AND PROCESS CONTROL
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Exploratory Analysis of Metallurgical Process Data with Neural Networks and ...
Ierobežota priekšskatīšana - 2002