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 97.
39 c) Building support vector machines for pattern recognition (classification) problems....... 41 d) Location of the optimal hyperplane.
... chemical sample (Krzanowski and Marriot, 1994). In these cases the number of variables usually exceed the number of samples by far. Similar problems ...
Although different workers in the field have different goals, all seek to design machines that can solve problems. In order to achieve this goal, ...
Like their rule-based counterparts, neural networks are also sometimes seen as 'solutions looking for problems'. Although the application of neural networks ...
Without loss of generality, a modelling problem (the behaviour of a process, plant unit operation, etc.) can be treated as follows, if the behaviour of the ...
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
Citi izdevumi - Skatīt visu
Exploratory Analysis of Metallurgical Process Data with Neural Networks and ...
Ierobežota priekšskatīšana - 2002