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 30.
Pyrolysis mass spectroscopy yields, near infrared spectroscopy and infrared spectroscopy yield approximately 200, 700 and 1700 such variables for each ...
With silicon technology we can envision today will dissipate in the order of 10° J of energy per operation on the chip level, and will consume approximately ...
Compared to the energy requirements of the human brain, with approximately 10 synapses, each of which receives a nerve pulse roughly 10 times per second, ...
However, by the mid-1980s, neural network business has soared from an approximately $7 million industry in 1987, to an estimated $120 million industry in ...
The delta rule requires a small learning rate (approximately 0.001 < 3s 0.1), since the weight vector is moved in the negative error gradient direction in ...
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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