Data Construction Method for Small Sample Sets

Language: English

Published by LAP LAMBERT Academic Publishing Aug 2010, 2010

3838398378 / 9783838398372

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This item is printed on demand - Print on Demand Titel. Neuware -Data Construction Method (DCM) based on the multiset division is proposed. The DCM can not only generate addition data within the domain value of the given sample for revealing the data's patterns, but also creates the membership function from the generated data for further applications. In this way, the DCM is taken to filling up the information gaps caused by small-sample-sets. To demonstrate the effectiveness of DCM, after presenting the DCM's theoretic background, properties, and algorithm, we compared the DCM with several existing approaches in estimating the population mean and improving the supervised neural network learning performance. The results show that the DCM performs better in a comparative manner. To show its applicability, we have applied the membership function derived from the DCM data to the studies of predicting the severe earthquakes in Taiwan and forecasting the psychotic episode of individual schizophrenics. The results have shown that the DCM can provide appropriate references for prediction from both spatial and temporal small data sets.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 172 pp. Englisch.

Seller Inventory # 9783838398372

Title
Data Construction Method for Small Sample Sets
Author
Hsiao-Fan Wang
Publisher
LAP LAMBERT Academic Publishing Aug 2010
Publication year
2010
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3838398378
ISBN 13
9783838398372
Item weight
274 grams
Dimensions
220x150x11 mm

buchversandmimpf2000

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