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The E-commerce Risk Early-Warning Model Based on the Unascertained C-means Clustering

โœ Scribed by Ma Lihua; Ma Fengyun; Guo Haiyan


Book ID
119354450
Publisher
Elsevier
Year
2011
Tongue
English
Weight
344 KB
Volume
15
Category
Article
ISSN
1877-7058

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Hilbert-Huang transformation has been applied to extract eigenvectors from the pressure fluctuation signals in the spouted bed. According on these eigenvectors, the flow regimes in the spouted bed could be classified into 4 clusters including 'packed bed', 'stable spouting', 'bubbling fluidized bed'