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 100.
... noisy or previously unseen inputs. From the perspective of cognitive modelling of process systems know-how, these pattern recognition and generalization ...
A 20 x 20 array of cadmium sulphide photosensors provided the input to the neural network. An 8 x 8 array of servomotor driven potentiometers constituted ...
Models of single neurons Each node model consists of a processing element with a set of input connections, as well as a single output connection, ...
A distinction is made between input, hidden and output layers, depending on ... be considered as a structure with n neurons or nodes receiving inputs (x), ...
... learn by repeatedly attempting to match sets of input data to ... of the relationship(s) between the inputs and the outputs of the neural network.
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